Identifying Correlations

Is the relationship in the table linear?

• No, because there's not a constant rate of change.

• None of these are correct.

Which type of correlation is the following scatterplot?

• No correlation

• Negative

• Both correlations

• Positive

What type of correlation does the following scatterplot represent?

• Positive

• Negative

• No correlation

• Both types of correlations

Is the following set of values a function? (x's are on the left, y's are on the right)

• Yes, because there are no repeating x values.

• No, because there are y repeats.

• Yes, because y doesn't repeat.

• No, because there are too many arrows.

Which correlation coefficient best describes the correlation shown?

• 0

• -0.75

• -0.3

• 0.3

What correlation coefficient would be describe the correlation?

• 0

• -0.999

• 0.978

• 0.2

What does a scatter plot with points closely following an upward sloping line indicate about the relationship between the two variables being plotted?

• No correlation

• Negative correlation

• Positive correlation

• Constant correlation

An experiment was conducted to examine the relationship between two variables. The correlation coefficient r was determined to be -0.9542.

Which TWO statements best describes the relationship between the two variables in the experiment?

• There is a weak negative correlation between the two variables

• There is a strong negative correlation between the two variables

• One can conclude a change in the independent variable causes the change in the dependent variable

• One can not conclude a change in the independent variable causes the change in the dependent variable

What is the line of best fit in a scatter plot primarily used for?

• To separate different groups of data

• To predict the value of one variable based on the value of another

• To calculate the exact values of all data points

• To create a boundary around all data points

As shown in the table, a person's target heart rate during exercise changes as the person gets older. Find the correlation coefficient (r).

• -0.999

• -0.664

• 0.998

• 1.503