1.
Correlation is a relationship between two sets of data.
Correct Answer
A. True
Explanation
Correlation refers to a statistical measure that quantifies the relationship between two variables or sets of data. It indicates the extent to which changes in one variable are associated with changes in the other variable. A positive correlation means that as one variable increases, the other variable also tends to increase, while a negative correlation means that as one variable increases, the other variable tends to decrease. Therefore, the statement "Correlation is a relationship between two sets of data" is true as it accurately describes the nature of correlation.
2.
When making a scatterplot you want to always connect the dots (points)
Correct Answer
B. False
Explanation
Instead of connecting all the points, you will draw a line between the points that is the best approximation of the average of the values. This line is called the Line of Best Fit or the Trend Line.
3.
When you have collected your data you may find that certain x values may have more than one y-value, such as (7,90) and (7,85) and (7,100). This is not okay. You should get rid of (or ignore) all but one of these points.
Correct Answer
B. False
Explanation
It's okay to have multiple points with the same x-value.
4.
If the slope of a line drawn through the scatterplot is positive (rising from left to right), that means there is a positive correlation between the data.
Correct Answer
A. True
Explanation
If the slope of a line drawn through the scatterplot is positive (rising from left to right), it indicates that as one variable increases, the other variable also tends to increase. This suggests a positive correlation between the data, meaning that there is a systematic relationship between the two variables where they both increase or decrease together. Therefore, the statement is true.
5.
Not all data sets will have a positive correlation. It all depends on the data being examined.
Correct Answer
A. True
Explanation
The statement is true because the presence of a positive correlation in a data set depends on the relationship between the variables being examined. A positive correlation means that as one variable increases, the other variable also tends to increase. However, this relationship may not be present in all data sets, as some variables may not have any clear relationship or may even have a negative correlation where one variable increases while the other decreases. Therefore, it is possible for data sets to not have a positive correlation, making the statement true.
6.
If the slope of a line drawn through the scatterplot is negative (falling from left to right), that means there is no correlation between the data.
Correct Answer
B. False
Explanation
It means there is a negative correlation.
7.
If the plot on the graph is scattered in such a way that it does not approximate a line (it does not appear to rise or fall), there is no correlation between the sets of data.
Correct Answer
A. True
Explanation
If the plot on the graph is scattered in such a way that it does not approximate a line, it suggests that there is no relationship or correlation between the sets of data. In other words, there is no consistent pattern or trend between the variables being plotted. Therefore, the statement "there is no correlation between the sets of data" is true.
8.
What kind of correlation is shown in the following graph?
Correct Answer
B. Low Positive Correlation
Explanation
The graph shows a pattern where as one variable increases, the other variable also tends to increase, but the relationship is not very strong. This indicates a low positive correlation between the two variables.
9.
What kind of correlation is shown in the following graph?
Correct Answer
E. No Correlation
Explanation
The graph does not show any clear pattern or trend between the variables. The points on the graph are scattered randomly, indicating that there is no relationship or correlation between the variables.
10.
Just because there is a strong correlation between data, does not necessarily mean that one set of data is causing the effect that is occurring in the other set of data.
Correct Answer
A. True
Explanation
This statement is true because correlation does not imply causation. Just because two sets of data are strongly correlated, it does not mean that one set of data is causing the effect observed in the other set of data. Correlation only indicates a relationship between variables, but it does not provide evidence of a cause-and-effect relationship. Other factors or variables may be influencing both sets of data, leading to the observed correlation. Therefore, it is important to consider other evidence and factors before concluding that one set of data is causing the effect in the other set.
11.
In the last example on the page, the scatterplot shows that the number of jars of strawberry jam sold in New York was causing an increase in the number of classical music CDs sold in Florida.
Correct Answer
B. False
Explanation
There is definitely a correlation between the data, but that does not mean there was causation.