Marketing Research Ch. 15

Multiple R ranges from ______and represents the amount of the dependent variable explained or accounted for, by the combined independent variables

A or b

Standardized betas indicate the relative importance of:

Alternative predictive variable

What is the type of analysis for the case in which only two variables are involved in the predictive model?

Bivariant regression analysis

Regression is_______to correlation by the underlying straight-line relationship

Directly related

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

Doesn't embody interval scaling assumptions

What does a researcher do with the mixed significance results he or she may have found in a multiple regression analysis?

Eliminate non-significance variable and re-run the regression

Straight line equation

Is the basis of regression analysis

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

Multi-collinearity

What is the primary term for coefficient of determination and handy measure of the strength of the overall linear relationship?

Multiple R

Is a very powerful tool because it tells us what factors are related to the dependent variable, how each factor influences the dependent variable (the sign) and how much each factor influences it (the size of bi)

Multiple regression

Is an expansion of bivariate regression analysis in that more than one independent variable is used in the regression equation

Multiple regression analysis

When using SPSS to run stepwise multiple regression, there is:

No need to trim and re-run

To compute a (intercept) and b (slope), you must work with a number of ______of the various levels of the dependent variable paired with different levels of the independent variable

Observations

The final output in stepwise multiple regression contains:

Only statistically significant independent variables

The larger the absolute value of a standardized beta coefficient, the more relative importance it assumes in:

Predicting the dependent variable

With multiple regression, you work with a _______rather than a line

Regression plane

High multiple R values indicate what?

Regression plane applies well

Researchers sometimes refer to bivariate regression as :

Simple regression

When a researcher standardizes independent variables through a quick operation that involves dividing the difference between each independent variable value and it's mean by the standard deviation of that independent variable, it results in the:

Standardized beta

A multiple regression result is an estimate of the population multiple regression equation and just as is the case with other estimated population parameters it is necessary to test for what?

Statistical significance

When a researcher has many independent variables and wants to narrow the set down to a smaller number which form of regression is useful?

Stepwise multiple regression

The_______enables the marketing researcher to think in terms of fewer dimensions within which the dependent variable relationship operates

Trimming process

What is a satisfactory method for improving a regression analysis?

Use a scatter diagram

What is a way of guaranteeing that the straight line that runs through the points on the scatter diagram is positioned so as to minimize the vertical distances away from the line of the various points?

Use of least square criteria

The way to avoid multicollinearity is to use warning statistics issued by most statistical analysis programs to identify this problem. One commonly used method is the:

Variance inflation factor

regression analysis

What is the predictive analysis technique in which one or more variables are used to predict the level of another by use of the straight-line formula?

independent variable

What variable is customarily termed x in the regression formula?

dependent variable

What variable is customarily termed y in the regression straight-line equation?