Exam 15: Understanding Regression Analysis Basics

When examining the output of any multiple regression,the researcher should inspect the VIF number associated with each independent variable that is retained in the final multiple regression equation by the procedure.

Because independent variables are often measured with different units,it is erroneous to make ________ between the calculated betas.

When SPSS or any other statistical analysis program computes the intercept and the slope in a correlation analysis,it does so on the basis of the least squares criterion.

Regression analysis invites us to think in terms of a dependent variable resulting from or being caused by an independent variable's actions.

Multiple R ranges from ________ and represents the amount of the dependent variable"explained,"or accounted for,by the combined independent variables.

Some commonly used dummy variables are gender(males versus female),purchasing behavior(buyer versus nonbuyer),advertising exposure(recalled versus not recalled),and purchase history(first time buyer versus repeat buyer).

The interval-at-minimum scaling assumption requirement of multiple regression may be relaxed by use of a:

With bivariate regression,one variable is used to predict another variable using the formula for a straight line.

With stepwise multiple regression,there is no need to trim and rerun the regression analysis because SPSS does the trimming automatically based on the stepwise method selected by the researcher.

There are instances in which a marketing researcher may want to use an independent variable that:

What is regression analysis? How do market researchers use regression analysis?

There is an underlying general conceptual model in multiple regression analysis.

A trimmed regression means that the researcher eliminates the nonsignificant independent variables and rerun the regression.

The greater the explanatory power of the multiple regression finding,the better and more useful it is for the researcher.

The multiple regression analysis model assumes that a straight-line(plane)relationship exists among the variables,just as in:

How does a researcher improve regression analysis?

With stepwise multiple regression output,information on independent variables is taken out of the multiple regression equation based on nonsignificance.However,researchers must remember that SPSS stepwise multiple regression will not take into account the VIF statistic.

The presence of correlations among the independent variables in multiple regression is termed:

There is no need to perform a great many bivariate regressions,as there is a much better tool called multiple regression analysis.

The addition of independent variables complicates the model conceptualization by adding more dimensions or axes to the regression situation,but it makes the regression model more realistic because predictions normally depend on multiple factors,not just one.