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Perform a step wise regression to reduce the number of independent variables and produce a final regression model

INSTRUCTIONS TO CANDIDATES
ANSWER ALL QUESTIONS

Questions:

1.       Review the regression output in Table 2 and provide your critique of the results. What are your concerns about Venus’ model? (20 pts)

2.       Use the data in Table 1 to recreate the regression results in Table 2. (15 pts)

3.       Develop a correlation matrix for the data in Table 1. Comment on the values in your matrix and whether there are any concerns in using these variables in Venus’ multiple regression model. (20 pts)

4.       Based on your correlation results, what one (1) variable regression model would give you the best model from among the seven (7) parameters chosen by Venus? Build a 1-variable regression model with this variable, write out your equation, and comment on the results. (30 pts)

5.       Perform a step-wise regression to reduce the number of independent variables and produce a final regression model. Write out the forecast equation for your final model. (45 pts)

Now that you have a final model, present a pitch as to why your model is better than Venus’ model and whether Bayou City should use your model to invest in the Houston market. (20 pts)

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