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Problem 5: Y variable is VIAD.  Two quantitative predictors IQM (X1) and IQF(X2).  Categorical variable gender (represent indicators...

Problem 5:

Y variable is VIAD.  Two quantitative predictors IQM (X1) and IQF(X2).  Categorical variable gender (represent indicators as ZF and ZM / one of the categories needs to be suppressed)

  1. State the regression model for testing the appropriateness of the ANACOVA model.  

Note: ANACOVA model only appropriate as long as there is no interaction between the quantitative X’s and the categorical variable

VIAD IQM IQF Gender
-10 115 100 Male
-4 112 110 Male
9 106 108 Male
-15 123 135 Male
-15 125 115 Male
5 105 112 Male
-8 115 121 Male
-4 122 132 Male
-1 138 135 Male
13 110 126 Male
8 120 141 Female
-5 130 128 Female
2 110 104 Female
-7 113 98 Female
15 102 106 Female
-10 141 130 Female
-3 120 128 Female
10 113 105 Female
2 114 107 Female
4 102 111 Female
0 0
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Answer #1

The regression model for testing the appropriateness of the ANCOVA model is:

VIAD = -2.47 + 17.47 IQM_102 + 1.97 IQM_105 + 5.97 IQM_106 + 9.97 IQM_110 - 7.03 IQM_112 + 9.47 IQM_113 + 10.0 IQM_114 - 12.03 IQM_115 + 10.47 IQM_120 - 7.03 IQM_122 - 18.03 IQM_123 - 18.03 IQM_125 + 3.0 IQM_130 - 4.03 IQM_138 - 2.0 IQM_141 - 5.50 Gender_Female + 5.50 Gender_Male

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