Please help!

•Step 1: collect and organize data

-b) What features would need to be included on a scatterplot so that the data can be easily analyzed? Make a list of needed features and explain why each is important to graph.

-c)Next, you will make a scatterplot. Name a point that will be on your scatterplot and describe what it represents.

-d) Using the regression calculator, 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.
-a) 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.

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

-c) Does the correlation between the variables imply causation? Explain.

-d) How do you create the residuals for a scatterplot?

-e) Calculate the residuals for your scatterplot in step 2d.

-f) Create a residual plot for your data.

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

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