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QMB 3200 Exam 3 Questions and complete Answers

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A graph of the standardized residuals plotted against values of the normal scores that helps to determine whether the assumption that the error term has a normal probability distribution appears to be valid is called a: correct answers normal probability plot The tests of significance in regression analysis are based on assumptions about the error term ɛ . One such assumption is that the variance of ɛ, denoted by ?2, is: correct answers the same for all values of x identify independent and dependent variables between advertising and sales correct answers The independent variable is the advertising expenses, and the dependent variable is sales. In regression analysis, the variable that is being predicted is the: correct answers dependent variable The tests of significance in regression analysis are based on assumptions about the error term ɛ. One such assumption is that the error term follows ɛ a(n) _____ distribution for all values of x correct answers normal Influential observations always: correct answers none of the above When studying the relationship between two quantitative variables, an interval estimate of the mean value of y for a given value of x is called a(n): correct answers confidence interval When constructing a confidence or a prediction interval to quantify the relationship between two quantitative variables, the appropriate degrees of freedom are: correct answers n-2 The value of the coefficient of correlation (r): correct answers can be equal to the value of the coefficient of determination (r2). An F test, based on the F probability distribution, can be used to test for: correct answers significance in regression The coefficient of determination: correct answers cannot be negative The mathematical equation relating the independent variable to the expected value of the dependent variable, , is known as the: correct answers regression equation Suppose a residual plot of x verses the residuals, y - ŷ, shows a non-constant variance. In particular, as the values of x increase, suppose that the values of the residuals also increase. This means that: correct answers as the values of x get larger, the ability to predict y becomes less accurate. An observation that has a strong influence or effect on the regression results is called a(n): correct answers influential observation The tests of significance in regression analysis are based on assumptions about the error term ɛ. One such assumption is that the error term follows ɛ a(n) _____ distribution for all values of x. correct answers normal Larger values of r2 imply that the observations are more closely grouped about the: correct answers least squares line If a significant relationship exists between x and y and the coefficient of determination shows that the fit is good, the estimated regression eq

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