A multiple regression analysis between yearly income y in


Question 1: A factorial experiment involving 2 levels of factor A and 2 levels of factor B resulted in the following.

                                                                                 Factor B

                                                            Level 1                                 Level 2

                                    Level 1               14                                         18

                                                               16                                         12

            Factor A

                                    Level 2               18                                         16

                                                               20                                         14

 

Set up an ANOVA table and test for any significant main effect and any interaction effect.  Use a = .05.

Question 2: A multiple regression analysis between yearly income (Y in $1,000s), college grade point average (X1), age of the individuals (X2), and the gender of the individual (X3; zero representing female and one representing male) was performed on a sample of 10 people, and the following results were obtained.

                                    Coefficient            Standard Error

            Constant              4.0928                      1.4400

               X1                   10.0230                      1.6512

               X2                     0.1020                      0.1225

               X3                    -4.4811                      1.4400

 

Analysis of Variance

 

            Source of             Degrees               Sum of                Mean

            Variation          of Freedom             Squares              Square                 F

 

            Regression                                        360.59

            Error                                                  23.91

a. Write the regression equation for the above.

b.  Interpret the meaning of the coefficient of X3.

c. Compute the coefficient of determination.

d. Is the coefficient of X1 significant?  Use a = 0.05.

e. Is the coefficient of X2 significant?  Use a = 0.05.

f.  Is the coefficient of X3 significant?  Use a = 0.05.

g. Perform an F test and determine whether or not the model is significant.

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Basic Statistics: A multiple regression analysis between yearly income y in
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