## Basic Model related Regression Analysis

1. Form the Basic Model:

Y = ?0 + ?1x1i + ……… + ?kxki + ?i

1. Regression Analysis:

 Variables Coefficient Standard Error t value p value

Ø     State the values that you calculated in Minitab in a Table.

Ø     For each of the variable, state the coefficient and interpret.

Ø     Then do a t test using the appropriate level of significance and degrees of freedom stating your hypotheses. I expect you to impute the formula for a t test and how the coefficient and Standard Error together makes the t.

Ø     Then do the p value test.

1. Analysis of Variance:

 SS MS F p value Regression Residual Total

State the values that you calculated in Minitab in a Table.

Ø     Interpret SSR, SSE, SST, MSR and MSE for the given degrees of freedom. Then interpret MSR and MSE.

Ø      Do the F test, testing your hypothesis using the formula.

Ø     Do F test using appropriate degrees of freedom and significance level. This will be an overall test on all the variables of the Regression Model.

Ø     Do the p value test for F.

1. Calculate and Interpret:

Ø     R2, Adjusted-R2 and Robustness. Then also state the model standard error with appropriate degrees of freedom.

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