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41) In bivariate regression analysis, the higher the R-square value, the: A) lower the predictive power of the analysis. B) stronger the linear relationship. C) the worse the straight line’s fit to the scatter points. D) less precise the prediction will be of the dependent variable. E) the more precise the prediction will be of the independent variable. 42) A measure of the accuracy of the predictions of the regression equation is referred to as: A) standard error of the mean. B) standard deviation. C) residuals deviation. D) standard error of the estimate. E) regression deviation. 43) That a scatter diagram plot will be spread uniformly and in accord with the normal curve assumptions over the regression line is: A) one of the assumptions of regression analysis B) one of the assumptions of time series analysis C) the only assumption of exponential smoothing D) the only assumption of scatter diagram plots E) an understood fact 44) When using regression analysis, confidence intervals may be used to: A) determine the x and y variables. B) allow the researcher to use the knowledge of the normal curve to specify the range in which the dependent variable may fall. C) allow the researcher to use the knowledge of the normal curve to specify the range in which the independent variable may fall. D) determine the slope. E) satisfy assumptions. 45) A form of regression analysis where more than one independent variable is used in the regression equation is known as: A) regression planes. B) additivity. C) multiple regression analysis. D) Multi-NOVA. E) MANOVA. 46) A multiple regression equation is best described by which of the following forms? A) The independent variable is predicted by the intercept plus a series of values of the slope times each dependent variable. B) The independent variable is predicted by the slope plus a series of values of the intercept times each dependent variable. C) The dependent variable is predicted by the intercept plus a series of values of the slope times each independent variable. D) The dependent variable to be predicted is equal to the intercept plus a series of values of the slope times each independent variable. E) y = a + bx 47) Which of the following in multiple regression is a handy measure of the strength of the overall relationship? A) Adjusted R B) Multiple R C) multicollinearity D) VIF E) Adjusted B 48) Which of the following term reflects the inclusion of each independent variable by bixi to preserve the straight-line assumptions of multiple regression analysis? A) independence assumption B) multicollinearity C) additivity requirement D) regression plane E) uncorrelation 49) When you find “mixed” results in multiple regression (i.e., some betas are significant, others are not), you: A) eliminate, or “trim,” the insignificant variables. B) adjust the insignificant variables by applying a standardized weight. C) accept the null hypothesis. D) choose the result that fits your hypothesis. E) add other variables and run the test again. 50) While the scaling assumptions of multiple regression require that both the independent and dependent variables be at least interval scaled, we may use categorical independent variables by using: A) ratio scaled variables. B) standardized beta coefficients. C) dummy variables. D) temporary variables. E) semi-ratio variables.