Data set: https://docs.google.com/spreadsheets/d/1yvET6DZ0L1pCYmb7zZ_ztMuGyMHaPj0ayGFp6TCvCeo/edit?usp=sharing

Consider the regression model: MKTSHR vs PA, PBR, PBP and PC

1.Perform Regression Diagnostics. (Residual Plots, and Normality of Residuals.)

2.Identify potential violation of any of the regression assumptions.

3.Make appropriate transformations and hypothesize the proposed/revised model.

3. Estimate the proposed/revised model.

4. Perform regression diagnostics to check if your transformation has worked. What makes the model valid? (i.e., satisfaction of all assumptions)

5. Comment on the performance/adequacy of the model.

6.Predict the expected market share (and a 95% prediction interval) using the revised model and the following data for the prices/package:

PA = $1.49; PBR = $1.45; PBP=$1.95; and PC =$ 1.69,