Exam 19: Regression Analysis in Marketing Research

When you have independent variables that are not significant in multiple regression analysis, it is appropriate to take them out and rerun the regression. The new model is referred to as a "trimmed" model.

One of the assumptions of regression analysis is that the plots on a scatter diagram will be spread uniformly and in accord with the normal curve assumptions over the regression line. This means that the points will be diffused and spread out near the line and become closer together as you move away from the line.

In bivariate regression analysis, the higher the Adjusted R Square value, the:

When we make predictions and compare the differences between our predictions and the actual results, we are performing what is known as analysis of residuals.

A multiple regression equation is best described by which of the following forms?

An outlier refers to Multiple Rs that are above expected norms such as above 95 or 100.

The standard error of the estimate is used to help predict a range within which we would expect an actual result to fall.

When regression is used as a screening device, the items to report are (1)dependent variable, (2)statistically significant independent variables, (3)signs of beta coefficients, and (4)standardized beta coefficients for the significant variables.

That a scatter diagram plot will be spread uniformly and in accord with the normal curve assumptions over the regression line is:

Extrapolation is a process of making predictions by:

A standardized beta coefficient is defined as:

In bivariate regression analysis, t tests are used to test the significance of the slope and the intercept of the multiple dependent variables.

When we make a prediction using multiple regression, we can apply a 95 percent confidence interval around the predicted dependent variable by multiplying:

The main purpose of ANOVA in bivariate regression is to:

When the statistic used to determine whether or not multicollinearity is a concern in multiple regression is greater than ________, it is prudent to remove that variable and rerun the regression.

Which of the following residuals shows an exact prediction?

The "goodness" of predictions refers to:

In bivariate regression, we can calculate an upper and lower range within which we could expect the values of the independent values to fall if they were calculated.

Independent variables are normally measured in different units, so to determine the relative importance of the beta weights between independent variables we would use:

In the formula for bivariate regression analysis, the point where the line cuts the y axis when x = 0 is known as b, the beta.