BADM Prep
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| If the coefficient of determination is a positive value, then the coefficient of correlation a. must also be positive b. must be zero c. can be either negative or positive d. must be larger than 1 | c. can be either negative or positive
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| Regression analysis is a statistical procedure for developing a mathematical equation that describes how a. 1 ind. & 1 or more dep. variables r related b. several ind & several dep variables r related c. 1 dep & 1 or more ind variables r related d. no | c. one dependent and one or more independent variables are related.
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| In a regression analysis, the error term E is a random variable with a mean or expected value of a. zero b. one c. any positive value d. any value | a. zero
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| The standard error is the a. t-statistic squared b. square root of SSE c. square root of SST d. square root of MSE | d. square root of MSE
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| In the following estimated regression equation y-hate = b0 +b1x a. b1 is the slope b. b1 is the intercept c. b0 is the slope d. None of these alternatives is correct. | a. b1 is the slope
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| The coefficient of determination a. cannot be negative b. is the square root of the coefficient of correlation c. is the same as the coefficient of correlation d. can be negative or positive | a. cannot be negative
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| In regression analysis, the model is the form y=B0+B1x1+E is called a. regression equation b. correlation equation c. estimated regression equation d. regression model | d. regression model
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| In regression analysis, the unbiased estimate of the variance is a. coefficient of correlation b. coefficient of determination c. mean square error d. slope of the regression equation | c. mean square error
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| In a simple regression analysis (where Y is a dep & X an ind variable), if the Y intercept is pos, then a. there is a pos correlation b/w X & Y b. if X is inc, Y must also inc c. if Y is inc, X must also inc d. None c. if Y is increased, X must also | d. None of these alternatives is correct.
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| The model developed from sample data that has the form of y-hat=b0+b1x is known as a. regression equation b. correlation equation c. estimated regression equation d. regression model. | c. estimated regression equation
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| In a multiple regression model, the error term E is assumed to a. have a mean of 1 b. have a variance of zero c. have a standard deviation of 1 d. be normally distributed | d. be normally distributed
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| The adjusted multiple coefficient of determination is adjusted for a. the number of dependent variables b. the number of independent variables c. the number of equations d. detrimental situations | b. the number of independent variables
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| A regression model in which more than one idependent variable is used to predict the dependent variable is called a. a simple linear regression model b. a multiple regression model c. an independent model d. none of these alternatives is correct | b. a multiple regression model
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| In multiple regression analysis, the correlation among the independent variables is termed a. homoskedasticity b. linearity c. multicollinearity d. adjusted coefficient of determination | c. multicollinearity
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| In a multiple regression model, the values of the error term, E, are assumed to be a. zero b. dependent on each other c. independent of each other d. always negative | c. independent of each other
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| The mathematical equation relating the expect value of the dep variable to the value of the ind variables, which has the form of E(y)=B0+B1x1+B2x2+_+Bpxp a. simple linear regression model b. multi nonlinear regression model c. multi regression equation | c. multiple regression equation
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| The est of the multi regression equat based on the smpl data, which has the form of E(y)=yhat=b0+b1x1+b2x2+__bpxp asimple linear regression model b.multi nonlinear regression model c.estimated multi regression equation d.multi regression equation | c. an estimated multiple regression equation
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| # value of the coefficient of determination a.is always lrg than the coefficient of correlation b.is always sml than the coefficient of correlation c. is neg if the coefficient of detrmination is neg d.can be lrg or sml than the coefficient of correla | d. can be larger or smaller than the coefficient of correlation
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| 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. an interaction b. a constant variable c. a category variable d. a qualitave variable | d. a qualitative variable
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| A measure of goodness of fit for the estimated regression equation is the a. mutiple coefficient of determination b. mean square due to error c. mean square due to regression d. sample size | a. mutliple coefficient of determination
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