Please show the steps in a jupyter notebook.

C11 Use the data in GPAI to answer these questions. It is a sample of Michigan State University undergrad- uates from the mid-1990s, and includes current college GPA, colGPA, and a binary variable indicating whether the student owned a personal computer (PC). (i) How many students are in the sample? Find the average and highest college GPAs. Simple Regression Model 65 ) How many students owned their own PC? (ii) Estimate the simple regression equation COIGPA Be + B, PC + # and report your estimates for B, and B. Interpret these estimates, including a discussion ofthe magnitudes, (iv) What is the R-squared from the regression? What do you make of its magnitude? (V) Does your finding in part tim imply that owning a PC has a causal effect on colGPA? Explain. C11 Use the data in GPAI to answer these questions. It is a sample of Michigan State University undergrad- uates from the mid-1990s, and includes current college GPA, colGPA, and a binary variable indicating whether the student owned a personal computer (PC). (i) How many students are in the sample? Find the average and highest college GPAs. Simple Regression Model 65 ) How many students owned their own PC? (ii) Estimate the simple regression equation COIGPA Be + B, PC + # and report your estimates for B, and B. Interpret these estimates, including a discussion ofthe magnitudes, (iv) What is the R-squared from the regression? What do you make of its magnitude? (V) Does your finding in part tim imply that owning a PC has a causal effect on colGPA? Explain