UCF QMB 3200 Final Exam Verified Questions with Correct Answers Graded A+

UCF QMB 3200 Final Exam Verified Questions with Correct Answers Graded A+ A variable that cannot be measured in numerical terms is called a _____. a. dependent variable b. constant variable c. qualitative variable d. non-measurable random variable c. qualitative variable The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is the _____. a. standard error b. residual c. predicted interval d. variance b. residual In a multiple regression model, the error term ε is assumed to _____. a. have a standard deviation of 1 b. have a variance of 0 c. be normally distributed d. have a mean of 1 c. be normally distributed A variable that takes on the values of 0 or 1 and is used to incorporate the effect of qualitative variables in a regression model is called a(n) _____. a. dummy variable b. outlier c. interaction d. constant variable a. dummy variable A term used to describe the case when the independent variables in a multiple regression model are correlated is _____. a. correlation b. multicollinearity c. regression d. linearity b. multicollinearity In regression analysis, an outlier is an observation whose _____. a. mean is larger than the standard deviation b. mean is 0 c. residual is 0 d. residual is much larger than the rest of the residual values d. residual is much larger than the rest of the residual values In a multiple regression model, the error term ε is assumed to be a random variable with a mean of _____. a. 0 b. 1 c. any value d. −1 a. 0 Exhibit 15-4 a. y = β0 + β1x1 + β2x2 + ε b. E(y) = β0 + β1x1 c. ŷ = b0 + b1 x1 + b2 x2 d. E(y) = β0 + β1x1 + β2x2 Which equation describes the multiple regression model? a. equation d b. equation b c. equation a d. equation c c. equation a In a multiple regression model, the values of the error term, ε, are assumed to be _____. a. independent of each other b. dependent on each other c. 0 d. always negative a. independent of each other A measure of goodness of fit for the estimated regression equation is the _____. a. sample size b. mean square due to error c. multiple coefficient of determination d. mean square due to regression c. multiple coefficient of determination Exhibit 15-4 a. y = β0 + β1x1 + β2x2 + ε b. E(y) = β0 + β1x1 c. ŷ = b0 + b1 x1 + b2 x2 d. E(y) = β0 + β1x1 + β2x2 Which equation describes the multiple regression equation? a. equation a b. equation b c. equation c d. equation d d. equation d As the goodness of fit for the estimated multiple regression equation increases, _____. a. the value of the regression equation's constant b0 decreases b. the value of the correlation coefficient increases c. the value of the multiple coefficient of determination increases d. the value of the adjusted multiple coefficient of determination decreases c. the value of the multiple coefficient of determination increases In multiple regression analysis, the correlation among the independent variables is termed _____. a. adjusted coefficient of determination b. multicollinearity c. linearity d. collinearity b. multicollinearity The adjusted multiple coefficient of determination is adjusted for _____. a. the number of independent variables b. the number of equations c. detrimental situations d. the number of dependent variables a. the number of independent variables In regression analysis, the response variable is the _____. a. slope of the regression function b. intercept c. independent variable d. dependent variable d. dependent variable Exhibit 15-4 a. y = β0 + β1x1 + β2x2 + ε b. E(y) = β0 + β1x1 c. ŷ = b0 + b1 x1 + b2 x2 d. E(y) = β0 + β1x1 + β2x2 Which equation gives the estimated regression line? a. equation c b. equation d c. equation a d. equation b a. equation c A variable that cannot be measured in terms of how much or how many but instead is assigned values to represent categories is called a(n) _____. a. category variable b. constant variable c. qualitative variable d. interaction c. qualitative variable For a multiple regression model, SSR = 600 and SSE = 200. The multiple coefficient of determination is _____. a. .275 b. .333 c. .300 d. .75 d. .75 A multiple regression model has _____. a. more than one independent variable b. at least two dependent variables c. only one independent variable d. more than one dependent variable a. more than one independent variable In a multiple regression model, the variance of the error term ε is assumed to be _____. a. the same for all values of the dependent variable b. the same for all values of the independent variable c. −1 d. 0 b. the same for all values of the independent variable To test for the significance of a regression model involving 14 independent variables and 255 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are _____. a. 13 and 240 b. 14 and 255 c. 14 and 240 d. 255 and 14 c. 14 and 240 A test to determine whether or not first-order autocorrelation is present is _____. a. a chi-square test b. the Durbin-Watson test c. a t test d. an F test b. the Durbin-Watson test The correlation in error terms that arises when the error terms at successive points in time are related is termed _____. a. autocorrelation b. parallel correlation c. multicorrelation d. leverage a. autocorrelation The joint effect of two variables acting together is called _____. a. joint regression b. serial correlation c. autocorrelation d. interaction d. interaction What value of Durbin-Watson statistic indicates no autocorrelation is present? a. 2 b. -2 c. 1 d. 0 a. 2 The range of the Durbin-Watson statistic is _____. a. -1 to 1 b. 0 to 4 c. -∞ to ∞ d. 0 to 1 b. 0 to 4 The forward selection procedure starts with how many independent variable(s) in the multiple regression model? a. 1 b. 3 c. 2 d. 0 d. 0 The following model y = β0 + β1x1 + ε is referred to as a _____. a. curvilinear model with one predictor variable b. simple second-order model with one predictor variable c. curvilinear model d. simple first-order model with one predictor variable d. simple first-order model with one predictor variable Serial correlation is_____. a. the correlation between serial numbers of products b. the same as collinearity c. the same as leverage d. the same as autocorrelation d. the same as autocorrelation The parameters of nonlinear models have exponents _____. a. larger than 3 b. other than 1 c. only equal to 2 d. larger than 0 b. other than 1 A group of observations measured at successive time intervals is known as a(n) _____. a. time series b. trend component c. additive time series model d. forecast a. time series One measure of the accuracy of a forecasting model is ______. a. a deseasonalized time series b. the smoothing constant c. the standard deviation d. the mean squared error d. the mean squared error A component of the time series model that results in the multi-period above-trend and below-trend behavior of a time series is a(n) _____. a. seasonal component b. trend component c. cyclical component d. irregular component c. cyclical component