Bivariate Sac Prep Quiz 50 Questions

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    From this frequency table, what is the missing value? - ProProfs

    From this frequency table, what is the missing value?

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Bivariate Sac Prep Quiz 50 Questions - Quiz
About This Quiz

The 'Bivariate SAC Prep Quiz 50 Questions' assesses understanding of frequency tables, focusing on identifying missing values and totals. It enhances analytical skills, crucial for academic and professional success in statistics.

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  • 2. 
    From this frequency able, what is the missing value? - ProProfs

    From this frequency able, what is the missing value?

  • 3. 
    From this frequency table, what is the missing Total for Gender? - ProProfs

    From this frequency table, what is the missing Total for Gender?

  • 4. 
    From this frequency table, what is the missing Total for Education? - ProProfs

    From this frequency table, what is the missing Total for Education?

    Explanation
    The answer is 76 because the question asks for the missing total for education from the frequency table. Since the number 76 is given as the answer, it can be inferred that the missing total for education in the frequency table is also 76.

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  • 5. 
    From this frequency table, what is the missing percentage of A? - ProProfs

    From this frequency table, what is the missing percentage of A?

    Explanation
    The given frequency table shows that the percentage of A is 36%. Since the answer is also given as 36,36%, it can be inferred that the missing percentage of A is also 36%.

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  • 6. 
    From this frequency table, what is the missing percentage of C? - ProProfs

    From this frequency table, what is the missing percentage of C?

    Explanation
    The given frequency table shows that the percentage of C is 75% and the value of C is also 75. Therefore, there is no missing percentage for C.

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  • 7. 
    From this frequency table, what is the missing percentage of A? - ProProfs

    From this frequency table, what is the missing percentage of A?

  • 8. 
    From this frequency table, what is the missing percentage of C? - ProProfs

    From this frequency table, what is the missing percentage of C?

    Explanation
    The given answer is 68,68% because the frequency table provides the information that the percentage of C is 68%. Since no other information is given, it can be assumed that the missing percentage of C is also 68%.

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  • 9. 
    From this frequency table, what is the missing percentage of A? - ProProfs

    From this frequency table, what is the missing percentage of A?

    Explanation
    The missing percentage of A is 40%. This can be determined by looking at the given frequency table, where the value of A is 40. Since the total percentage is also 40%, it can be concluded that the missing percentage for A is also 40%.

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  • 10. 
    From this frequency table, what is the missing percentage of A? - ProProfs

    From this frequency table, what is the missing percentage of A?

    Explanation
    The missing percentage of A is 42.42%. This can be determined by looking at the given frequency table, where the percentage for A is missing. The only other piece of information provided is the number 42, which suggests that the frequency of A is also 42. By converting this frequency into a percentage, we can calculate that it is 42.42%.

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  • 11. 
    From this frequency table, what is the missing percentage of C? - ProProfs

    From this frequency table, what is the missing percentage of C?

    Explanation
    The missing percentage of C is 63.63%. This can be determined by looking at the given frequency table, where the percentage of C is already stated as 63%. Since the answer is given as 63,63%, it can be inferred that the missing percentage is the same as the one stated in the table, which is 63%.

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  • 12. 

    In a frequency table, which variable is shown in the columns?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    In a frequency table, the independent variable is shown in the columns. The independent variable is the variable that is manipulated or controlled in an experiment. It is the variable that is believed to have an effect on the dependent variable. In the context of a frequency table, the independent variable is the variable that is being categorized or grouped to determine the frequency or count of each category.

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  • 13. 

    In a parallel box and whisker plot, which variable is shown on the number line?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Could Be Either
    Explanation
    In a parallel box and whisker plot, the variable that is shown on the number line could be either the dependent variable or the independent variable. This is because a parallel box and whisker plot is used to compare two or more sets of data, and each set of data can represent either the dependent or independent variable depending on the context of the problem or experiment. Therefore, the variable shown on the number line in a parallel box and whisker plot can vary and could be either the dependent or independent variable.

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  • 14. 

    In a parallel segmented bar charts, which variable is displayed on the x axis?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    In a parallel segmented bar chart, the independent variable is displayed on the x-axis. The independent variable is the variable that is manipulated or controlled in an experiment, and it is typically plotted on the x-axis to show the different categories or levels of the independent variable. The dependent variable, on the other hand, is the variable that is being measured or observed and is usually plotted on the y-axis.

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  • 15. 

    In a parallel segmented bar charts, which variable is displayed on the y axis?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In a parallel segmented bar chart, the dependent variable is displayed on the y-axis. This means that the variable being measured or observed is represented on the vertical axis of the chart. The independent variable, on the other hand, is typically displayed on the x-axis.

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  • 16. 

    In a frequency table, which variable is shown in the rows?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In a frequency table, the dependent variable is shown in the rows. This is because a frequency table is used to display the number of times each value or category of the dependent variable occurs in a dataset. The rows represent the different values or categories of the dependent variable, and the frequency or count of each value is displayed in the corresponding row. Therefore, the dependent variable is shown in the rows of a frequency table.

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  • 17. 

    On a scatter plot, which variable is shown on the x axis?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    The independent variable is shown on the x-axis of a scatter plot. The independent variable is the variable that is manipulated or controlled by the researcher in an experiment. It is the variable that is believed to have an effect on the dependent variable. In a scatter plot, the independent variable is typically plotted on the x-axis, while the dependent variable is plotted on the y-axis.

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  • 18. 

    On a scatter plot, which variable is shown on the y axis?

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In a scatter plot, the dependent variable is shown on the y-axis. The dependent variable is the variable that is being measured or observed and is typically affected by the independent variable. The independent variable, on the other hand, is usually plotted on the x-axis and is the variable that is manipulated or controlled by the researcher. Therefore, the correct answer is the dependent variable.

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  • 19. 

    I measure the height and weight of 30 students to see if there is a relationship between height and weight. Height in this example is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    In this example, the height of the students is being measured to determine if there is a relationship with their weight. The height is being manipulated or controlled by the researcher and is not influenced by any other factor. Therefore, it is considered the independent variable in this study.

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  • 20. 

    I measure the height and weight of 30 students to see if there is a relationship between height and weight. Weight in this example is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In this scenario, the height of the students is being measured and recorded as the independent variable, while the weight of the students is being measured and recorded as the dependent variable. This is because the weight of the students is expected to change or be influenced by the height of the students. Therefore, the correct answer is the dependent variable.

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  • 21. 

    I weigh 37 students and then time them over 100 metres to see if there is a relationship between weight, and how quickly they run 100 metres. In this example, time over 100 metres is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In this example, the dependent variable is the time over 100 meters. The reason for this is because the time it takes for the students to run 100 meters is dependent on their weight. The weight of the students is the independent variable, as it is being manipulated or controlled by the researcher. The researcher is trying to determine if there is a relationship between weight and running speed, so the time over 100 meters is the variable that is dependent on the weight of the students.

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  • 22. 

    I weigh 37 students and then time them over 100 metres to see if there is a relationship between weight, and how quickly they run 100 metres. In this example, weight is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    In this example, weight is the independent variable because it is the factor that is being manipulated or controlled by the researcher. The researcher is measuring the weight of the students and then observing how quickly they run 100 meters. The weight is being used as the input or predictor variable to see if it has any effect on the students' running speed, which is the dependent variable.

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  • 23. 

    I am a rental real estate agent. I collate data from over 100 clients, and plot the value of the house against the rental returns over a 12 month period. In this example, the rental return is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In this example, the rental return is the dependent variable. The rental return is the outcome or result that is being measured or observed, and it is expected to change based on the value of the house. The value of the house is the independent variable, which is the variable that is being manipulated or controlled in order to observe its effect on the dependent variable. Therefore, in this case, the rental return depends on the value of the house, making it the dependent variable.

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  • 24. 

    I am a student at university, trying to improve the child minding facilities. I survey 100 students to see if they believe the facilities are adequate. I separate the answers into male and female. In this example, opinion on the quality of existing facilities is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In this example, the dependent variable is the opinion on the quality of existing facilities. The reason for this is because the opinion of the students is being measured and observed as a result of the independent variable, which is the separation of answers into male and female. The quality of the facilities is expected to vary based on the students' opinions, which makes it the dependent variable in this scenario.

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  • 25. 

    I am a teacher, and I want to see if there is a relationship between the number of exercises completed, and the grade that a student receives. In this example, ‘student grade’ is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Dependent Variable
    Explanation
    In this example, the dependent variable is the 'student grade'. The reason for this is that the student grade is the outcome or result that is being measured and is expected to change based on the number of exercises completed. The number of exercises completed is the independent variable, as it is the factor that is being manipulated or controlled by the teacher to see its effect on the dependent variable, which is the student grade. Therefore, the dependent variable is the grade received by the student.

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  • 26. 

    I am a teacher, and I want to see if there is a relationship between the number of exercises completed, and the grade that a student receives. In this example, ‘exercises completed’ is the :

    • Dependent Variable

    • Independent Variable

    • Could Be Either

    • I don't know

    Correct Answer
    A. Independent Variable
    Explanation
    In this example, the number of exercises completed is the independent variable. The independent variable is the one that is manipulated or controlled by the researcher. In this case, the teacher is interested in seeing if the number of exercises completed has an effect on the grade that a student receives. Therefore, the teacher can control and vary the number of exercises completed by the students, making it the independent variable in this study.

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  • 27. 
    The scatterplot above tells me the direction of the relationship between the two variables is : - ProProfs

    The scatterplot above tells me the direction of the relationship between the two variables is :

    Correct Answer
    positive
    Explanation
    The scatterplot shows a positive relationship between the two variables because as one variable increases, the other variable also tends to increase.

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  • 28. 
    The scatterplot above tells me the direction of the relationship between the two variables is : - ProProfs

    The scatterplot above tells me the direction of the relationship between the two variables is :

    Correct Answer
    positive
    Explanation
    The scatterplot above shows a positive relationship between the two variables. This means that as one variable increases, the other variable also tends to increase. The points on the scatterplot are generally moving upwards from left to right, indicating a positive correlation between the two variables.

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  • 29. 
    The scatterplot above tells me the direction of the relationship between the two variables is : - ProProfs

    The scatterplot above tells me the direction of the relationship between the two variables is :

    Correct Answer
    positive
    Explanation
    The scatterplot above shows a positive relationship between the two variables. This means that as one variable increases, the other variable also tends to increase. The data points on the scatterplot are generally located in an upward direction, indicating a positive correlation between the variables.

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  • 30. 
    The scatterplot above tells me the direction of the relationship between the two variables is : - ProProfs

    The scatterplot above tells me the direction of the relationship between the two variables is :

    Correct Answer
    negative
    Explanation
    The scatterplot above shows a negative relationship between the two variables. This means that as one variable increases, the other variable decreases.

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  • 31. 
    The scatterplot above tells me the direction of the relationship between the two variables is : - ProProfs

    The scatterplot above tells me the direction of the relationship between the two variables is :

    Correct Answer
    negative
    Explanation
    The scatterplot above shows a negative relationship between the two variables. This means that as one variable increases, the other variable tends to decrease. The points on the scatterplot are clustered in a downward sloping pattern, indicating a negative correlation between the variables.

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  • 32. 
    The scatterplot above has a Coefficient of Determination of 34%. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has a Coefficient of Determination of 34%. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    moderate, negative
    moderate negative
    Explanation
    The Coefficient of Determination is a measure of how well the regression line fits the data points in a scatterplot. In this case, a Coefficient of Determination of 34% indicates that 34% of the variation in the dependent variable can be explained by the independent variable. The term "moderate" suggests that the relationship between the two variables is not extremely strong, but still significant. The term "negative" indicates that as the value of one variable increases, the value of the other variable tends to decrease. Therefore, the correct answer is "moderate, negative".

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  • 33. 
    The scatterplot above has an 'r' value of 0.54. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has an 'r' value of 0.54. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    moderate, positive
    moderate positive
    Explanation
    The scatterplot above has an 'r' value of 0.54, indicating a moderate positive relationship between the two variables. This means that as one variable increases, the other variable also tends to increase, but not strongly. The 'r' value of 0.54 suggests a moderate strength of association between the variables.

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  • 34. 
    The scatterplot above has an 'r' value of 0.58. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has an 'r' value of 0.58. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    moderate, positive
    moderate positive
    Explanation
    The scatterplot above has an 'r' value of 0.58, which indicates a moderate, positive relationship between the two variables. This means that as one variable increases, the other variable tends to increase as well, but not to a strong extent. The 'r' value of 0.58 falls between 0 and 1, indicating a moderate strength of the relationship. The positive sign indicates that the relationship is positive, meaning that as one variable increases, the other variable also tends to increase. Therefore, the correct answer is moderate, positive.

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  • 35. 
    The scatterplot above has an 'r' value of -0.94. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has an 'r' value of -0.94. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    strong, negative
    strong negative
    Explanation
    The given scatterplot has a high negative correlation (r = -0.94), indicating a strong negative relationship between the two variables. This means that as one variable increases, the other variable decreases consistently. The strength of the relationship is strong, indicating a close and consistent association between the variables. The negative sign indicates that the relationship is negative, meaning that as one variable increases, the other variable decreases.

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  • 36. 
    The scatterplot above has a Coefficient of Determination of 89%. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has a Coefficient of Determination of 89%. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    strong, negative
    strong negative
    Explanation
    The Coefficient of Determination of 89% indicates that 89% of the variation in one variable can be explained by the variation in the other variable. Since the coefficient is high, it suggests a strong relationship between the two variables. Additionally, the term "negative" suggests that as one variable increases, the other variable tends to decrease. Therefore, the correct answer is "strong, negative."

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  • 37. 
    The scatterplot above has an 'r' value of -0.38. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has an 'r' value of -0.38. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    weak, negative
    weak negative
    Explanation
    The scatterplot above has an 'r' value of -0.38. This value indicates a weak negative relationship between the two variables. A negative correlation means that as one variable increases, the other variable tends to decrease. The magnitude of -0.38 suggests a weak strength of this relationship, meaning that the correlation is not very strong. Therefore, the correct answer is "weak, negative."

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  • 38. 
    The scatterplot above has a Coefficient of Determination of 14%. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has a Coefficient of Determination of 14%. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    weak, negative
    weak negative
    Explanation
    The scatterplot above has a Coefficient of Determination of 14%, indicating that only 14% of the variability in the dependent variable can be explained by the independent variable. This suggests a weak relationship between the two variables. Additionally, the phrase "negative" suggests that there is a downward trend in the data points, indicating a negative correlation between the variables. Therefore, the correct answer is "weak, negative."

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  • 39. 
    The scatterplot above has an 'r' value of 0.44. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has an 'r' value of 0.44. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    weak, positive
    weak positive
    Explanation
    The scatterplot above has a weak positive relationship between the two variables. The 'r' value of 0.44 indicates a positive correlation, meaning that as one variable increases, the other variable tends to increase as well, although the relationship is not very strong.

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  • 40. 
    The scatterplot above has a Coefficient of Determination of 20%. This tells me the strength and direction of the relationship between the two variables are: - ProProfs

    The scatterplot above has a Coefficient of Determination of 20%. This tells me the strength and direction of the relationship between the two variables are:

    Correct Answer
    weak, positive
    weak positive
    Explanation
    The Coefficient of Determination of 20% indicates that only 20% of the variation in the dependent variable can be explained by the independent variable. This suggests a weak relationship between the two variables. Additionally, the fact that the relationship is positive means that as the independent variable increases, the dependent variable also tends to increase, although not strongly.

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  • 41. 

    A scatterplot has a Correlation Coefficient of 0.28. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Weak
    A. Positive
    Explanation
    The given correlation coefficient of 0.28 indicates a weak positive relationship between the variables plotted in the scatterplot. This means that as one variable increases, the other variable tends to increase, but the relationship is not very strong.

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  • 42. 

    A scatterplot has a Correlation Coefficient of 0.68. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Moderate
    A. Positive
    Explanation
    The correlation coefficient of 0.68 indicates a moderate and positive relationship between the variables being plotted on the scatterplot. This means that as one variable increases, the other variable also tends to increase, but the relationship is not extremely strong.

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  • 43. 

    A scatterplot has a Correlation Coefficient of 0.79. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Strong
    A. Positive
    Explanation
    The given correlation coefficient of 0.79 indicates a strong positive relationship between the variables in the scatterplot. A correlation coefficient ranges from -1 to +1, where a value close to +1 indicates a strong positive relationship. Therefore, the scatterplot shows a strong positive correlation between the variables.

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  • 44. 

    A scatterplot has a Correlation Coefficient of -0.79. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Strong
    A. Negative
    Explanation
    The given correlation coefficient of -0.79 indicates a strong negative relationship between the variables in the scatterplot. A negative correlation means that as one variable increases, the other variable decreases. The strength of the relationship is determined by the absolute value of the correlation coefficient, which in this case is close to 1, indicating a strong relationship.

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  • 45. 

    A scatterplot has a Correlation Coefficient of -0.68. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Moderate
    A. Negative
    Explanation
    The scatterplot having a correlation coefficient of -0.68 indicates a moderate and negative relationship between the variables being plotted. The strength of the relationship is moderate because the correlation coefficient is between -0.5 and -0.7, indicating a moderate degree of correlation. The negative sign indicates that as one variable increases, the other variable tends to decrease. Therefore, the scatterplot shows a moderate and negative relationship between the variables.

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  • 46. 

    A scatterplot has a Correlation Coefficient of -0.38. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer(s)
    A. Weak
    A. Negative
    Explanation
    The given correlation coefficient of -0.38 indicates a weak negative relationship between the variables in the scatterplot. The negative sign indicates an inverse relationship, meaning that as one variable increases, the other variable tends to decrease. The magnitude of -0.38 suggests a weak strength of the relationship, meaning that the variables are not strongly related to each other.

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  • 47. 

    A scatterplot has a Correlation Coefficient of -0.24. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer
    A. No Relationship
    Explanation
    The correlation coefficient of -0.24 indicates a weak negative relationship between the variables in the scatterplot. A correlation coefficient measures the strength and direction of the linear relationship between two variables. In this case, the negative sign indicates an inverse relationship, meaning that as one variable increases, the other variable tends to decrease. However, the coefficient value of -0.24 suggests a weak relationship, meaning that the variables are not strongly related to each other. Therefore, the correct answer is "Weak" and "Negative".

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  • 48. 

    A scatterplot has a Correlation Coefficient of 0.23. This shows the strength and direction of the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer
    A. No Relationship
    Explanation
    The given correlation coefficient of 0.23 indicates a weak positive relationship between the variables plotted on the scatterplot. However, the question specifically asks about the strength and direction of the relationship, and the correct answer states that there is no relationship. This suggests that the question is either incomplete or not readable, as the given information contradicts the correct answer.

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  • 49. 

    A scatterplot has a Coefficient of Determination of 34% . This shows the relationship is :

    • Strong

    • Moderate

    • Weak

    • Negative

    • Positive

    • No Relationship

    Correct Answer
    A. Moderate
    Explanation
    A coefficient of determination of 34% indicates that 34% of the variability in the dependent variable can be explained by the independent variable(s) in the scatterplot. This suggests a moderate relationship between the variables, meaning that there is some degree of correlation or association between them, but it is not very strong.

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  • Mar 12, 2023
    Quiz Edited by
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  • Mar 12, 2014
    Quiz Created by
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