Understanding And Ability To Interpret Scatterplots

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| By Joel Dodd
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Joel Dodd
Community Contributor
Quizzes Created: 26 | Total Attempts: 206,323
| Attempts: 1,076
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  • 1/15 Questions

    A scatter-plots points should be connected with lines

    • True
    • False
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Understanding And Ability To Interpret Scatterplots - Quiz
About This Quiz

This quiz tests the ability to interpret scatterplots, assessing understanding of relationships depicted graphically. It covers various types of correlations, from strong positive to neutral, enhancing statistical analysis skills.

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  • 2. 

    The Correlation Coefficient (R) is a measure of the strength of the relationship

    • True

    • False

    Correct Answer
    A. True
    Explanation
    The correlation coefficient (R) is indeed a measure of the strength of the relationship between two variables. It ranges from -1 to +1, where -1 indicates a strong negative relationship, +1 indicates a strong positive relationship, and 0 indicates no relationship. Therefore, the statement "The Correlation Coefficient (R) is a measure of the strength of the relationship" is true.

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  • 3. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Neutral
    Explanation
    The graph describes a relationship where there is no apparent correlation or association between the variables being studied. This means that there is no positive or negative trend in the data points, indicating a neutral relationship.

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  • 4. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Strong positive
    Explanation
    The graph describes a strong positive relationship. This means that as one variable increases, the other variable also increases consistently and significantly. There is a clear and direct positive correlation between the two variables, indicating a strong relationship between them.

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  • 5. 

    Bivariate data does not have to have a linear (straight line) relationship

    • True

    • False

    Correct Answer
    A. True
    Explanation
    Bivariate data refers to a set of data that consists of two variables. The statement is true because bivariate data can have various types of relationships, not just a linear or straight line relationship. The relationship between the two variables can be nonlinear, meaning that the data points may not follow a straight line when plotted on a graph. This could include relationships such as quadratic, exponential, logarithmic, or any other non-linear pattern. Therefore, it is correct to say that bivariate data does not have to have a linear relationship.

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  • 6. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Weak negative
    Explanation
    The relationship described by the graph is a weak negative relationship. This means that as one variable increases, the other variable tends to decrease, but the relationship is not very strong.

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  • 7. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Moderate positive
    Explanation
    The graph describes a relationship that is moderate positive. This means that there is a moderate correlation between the variables being represented in the graph, and the relationship is positive, indicating that as one variable increases, the other variable also tends to increase, but not in a strong or perfect manner.

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  • 8. 

    Causal (functional) relationships can only be proven through careful, rigorous experimentation.

    • True

    • False

    Correct Answer
    A. True
    Explanation
    This statement is true because causal or functional relationships can only be proven through careful and rigorous experimentation. This means that in order to establish a cause-and-effect relationship between two variables, it is necessary to conduct controlled experiments where all other factors are kept constant except for the variables being studied. This allows researchers to determine whether changes in one variable directly result in changes in another variable. Without proper experimentation, it is difficult to establish a causal relationship with certainty.

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  • 9. 

    A scatter plot of bivariate data will only ever indicate

    • Correlation

    • Causality

    • Correlation AND casuality

    Correct Answer
    A. Correlation
    Explanation
    A scatter plot of bivariate data will only ever indicate correlation. This means that the plot can show the relationship between two variables, whether it is positive or negative, strong or weak. However, a scatter plot cannot determine causality, which means it cannot determine if one variable directly causes changes in the other. Correlation only shows a relationship between the variables, but it does not imply causation.

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  • 10. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Moderate negative
    Explanation
    The graph is showing a downward trend, indicating a negative relationship. However, the slope of the line is not very steep, suggesting a moderate negative relationship rather than a strong negative one.

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  • 11. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Weak positive
    Explanation
    The graph describes a weak positive relationship. This means that there is a positive correlation between the variables, but the correlation is not very strong. As one variable increases, the other variable also tends to increase, but the relationship is not very consistent or strong.

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  • 12. 

    The Coefficient of Determination (r2) is a measure of 

    • How complicated the trendline equation is

    • How strong the relationship is

    • How closely the regression trendline matches the real data

    Correct Answer
    A. How closely the regression trendline matches the real data
    Explanation
    The coefficient of determination (r2) is a measure of how closely the regression trendline matches the real data. It indicates the proportion of the variance in the dependent variable that can be explained by the independent variable(s). A higher r2 value indicates a stronger relationship between the variables and a better fit of the trendline to the actual data points. Therefore, the correct answer is that r2 measures how closely the regression trendline matches the real data.

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  • 13. 
    What sort of relationship is described by this graph? - ProProfs

    What sort of relationship is described by this graph?

    • Strong positive

    • Moderate positive

    • Weak positive

    • Neutral

    • Weak negative

    • Moderate negative

    • Strong negative

    Correct Answer
    A. Strong negative
    Explanation
    The graph shows a strong negative relationship. This means that as one variable increases, the other variable decreases at a strong rate. The correlation between the two variables is very strong and negative, indicating a strong inverse relationship between them.

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  • 14. 

    The Correlation Coefficient (R) is the square root of the Coefficient of Determination (r2)

    • True

    • False

    Correct Answer
    A. False
    Explanation
    The statement is false because the correlation coefficient (R) is not the square root of the coefficient of determination (r^2). The correlation coefficient (R) is the square root of the coefficient of determination (r^2). The coefficient of determination measures the proportion of the variance in the dependent variable that is predictable from the independent variable(s).

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  • 15. 

    A trend line is:

    • Sketched in to bisect the data

    • Calculated from the data through Regression analysis

    • Drawn with a ruler to show what the relationship is

    Correct Answer
    A. Calculated from the data through Regression analysis
    Explanation
    A trend line is calculated from the data through regression analysis. Regression analysis is a statistical method used to determine the relationship between variables. In this case, the trend line is used to show the relationship between the data points and to identify any patterns or trends. It is not sketched in to bisect the data or drawn with a ruler, as these methods do not involve any statistical analysis or calculation.

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  • Current Version
  • Mar 21, 2023
    Quiz Edited by
    ProProfs Editorial Team
  • Apr 26, 2011
    Quiz Created by
    Joel Dodd

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