70 Points to whoever answers this and is right. ⦁ Using the regression calculator in your tool bar, create a scatterplot using your data set from step 1. Insert a screenshot of your scatterplot, or recreate it below.

Step 3: Analyze your data.
Now that you have represented your data graphically, it can be more easily analyzed.
⦁ Describe how the line of best fit and the correlation coefficient can be used to determine the correlation between the two variables on your graph.

⦁ Describe the type of correlation between the two variables on your graph. How do you know?

⦁ Does the correlation between the variables imply causation? Explain.

⦁ How do you calculate the residuals for a scatterplot?

⦁ Calculate the residuals for your scatterplot in step 2d.

⦁ Create a residual plot for your data.

⦁ Does your residual plot show that the linear model from the regression calculator is a good model? Explain your reasoning.

Step 4: Make a prediction with your data.
⦁ Using your equation from step 2d, estimate the GPA of a student who studies for 15 hours a week. Justify your answer.