Model building is the process of deciding which dependent variables should be part of a final regression model.
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Q117: _ regression examines all combinations of independent
Q118: The 95% confidence interval for the regression
Q119: The 95% prediction interval for the number
Q120: The mean square error for this model
Q121: Residual values in a regression model can
Q123: The F- test for the overall regression
Q124: Using backward elimination regression may result in
Q125: Adding additional independent variables to the regression
Q126: The mean square regression is found by
Q127: The standard error of the regression coefficient
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