Any software works, R included, it doesn\'t have to be Minitab or SAS. Please in

Question

Any software works, R included, it doesn't have to be Minitab or SAS.

Please include your Minitab or SAS outputs for Problem 1 (60 points) Problem 1. Brand Preference. In a small scale study of the relation between degree of brand liking (Y) and moisture content (X1) and sweetness (X2) of product, the following results were obtained (data is coded) 4 4 4 Y 64 736 76 72 807 83 10 1 12 13 141516 10 10 10 10 Y 83 89 869388 95 94 100 Assume the multiple linear regression model with independent normal error terms is appropriate a) Find the estimated regression model. How is p1 interpreted here? Provide the least squares normal equations, no need to solve the system of equations. b) Test whether there is a regression relation using a level of significance of 0.01. State the alternatives, decision rule, and conclusion. What does your test imply about and ? c) What is the P-value of the test in part (b)?

Explanation / Answer

Any software works, R included, it doesn't have to be Minitab or SAS.

Please include your Minitab or SAS outputs for Problem 1 (60 points) Problem 1. Brand Preference. In a small scale study of the relation between degree of brand liking (Y) and moisture content (X1) and sweetness (X2) of product, the following results were obtained (data is coded) 4 4 4 Y 64 736 76 72 807 83 10 1 12 13 141516 10 10 10 10 Y 83 89 869388 95 94 100 Assume the multiple linear regression model with independent normal error terms is appropriate a) Find the estimated regression model. How is p1 interpreted here? Provide the least squares normal equations, no need to solve the system of equations. b) Test whether there is a regression relation using a level of significance of 0.01. State the alternatives, decision rule, and conclusion. What does your test imply about and ? c) What is the P-value of the test in part (b)?

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