Exam 15: Model Building and Model Diagnostics

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When the quadratic regression model y =  When the quadratic regression model y =   <sub>0</sub> +   <sub>1</sub>x +   <sub>2</sub>x<sup>2</sup> +  \varepsilon  is used the term   <sub>1</sub> shows the rate of curvature of the parabola. 0 +  When the quadratic regression model y =   <sub>0</sub> +   <sub>1</sub>x +   <sub>2</sub>x<sup>2</sup> +  \varepsilon  is used the term   <sub>1</sub> shows the rate of curvature of the parabola. 1x +  When the quadratic regression model y =   <sub>0</sub> +   <sub>1</sub>x +   <sub>2</sub>x<sup>2</sup> +  \varepsilon  is used the term   <sub>1</sub> shows the rate of curvature of the parabola. 2x2 + ε\varepsilon is used the term  When the quadratic regression model y =   <sub>0</sub> +   <sub>1</sub>x +   <sub>2</sub>x<sup>2</sup> +  \varepsilon  is used the term   <sub>1</sub> shows the rate of curvature of the parabola. 1 shows the rate of curvature of the parabola.

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In general,a multiple regression model is considered to be desirable if the value of the C statistic is small and the value of C is less than _____.

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Even when an unimportant variable is added to a regression model,the explained variation will increase.

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If the absolute value of the ______________ is greater than t.005,then there is strong evidence that the observation is an outlier with respect to its y value.

(Multiple Choice)
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A leverage value is considered to be large if it is substantially greater than

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If the multiple coefficient of determination that relates x3 to all the other independent variables,R2(x3)= .8,calculate the variance inflation factor for x3.Should the analyst be concerned about multicollinearity? Why?

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Use the following correlation matrix and determine the best multiple regression prediction equation that has no significant multicollinearity. Use the following correlation matrix and determine the best multiple regression prediction equation that has no significant multicollinearity.

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The following time sequenced observations of actual and predicted values of the dependent variable (demand)are obtained from a multiple regression model with 3 independent variables.Determine the Durbin-Watson statistic (d). The following time sequenced observations of actual and predicted values of the dependent variable (demand)are obtained from a multiple regression model with 3 independent variables.Determine the Durbin-Watson statistic (d).

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In the quadratic regression model In the quadratic regression model   if the term   <sub>2</sub> is ______ zero,then the parabola opens __________. if the term In the quadratic regression model   if the term   <sub>2</sub> is ______ zero,then the parabola opens __________. 2 is ______ zero,then the parabola opens __________.

(Multiple Choice)
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Multicollinearity affects the ability of the ____ statistic in assessing the importance of an independent variable.

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Below is a partial multiple regression computer output based on a quadratic regression model to predict student enrollment at a local university.The dependent variable is the annual enrollment given in thousands of students,the independent variable X is the increase in tuition stated in thousands of dollars per year,and X2 is the square of tuition increase given in squared thousands of dollars per year. Interpret β\beta 0 (the y intercept)and β\beta 1 (the β\beta coefficient for the X variable).Does the parabola open upward or downward? Why?

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When the assumption of __________ - residuals (error terms)is violated,the Durbin-Watson statistic is used to test to determine if there is significant _____________ among the residuals.

(Multiple Choice)
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As we increase the number of independent variables in a multiple regression model,the F statistic will _____ increase.

(Multiple Choice)
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In a multiple regression model with 4 independent variables and 25 observations,an observation's actual y value is 128.2,and the predicted value of the dependent variable based on the multiple regression equation is equal to 114.7.The computer output also shows that MSE is equal to 144 and the leverage value is 0.19.Calculate the deleted residual for this observation.

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When independent variables in a regression model are related to,or dependent on each other,then there exists _____ among the independent variables.

(Multiple Choice)
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Below is a partial multiple regression computer output based on a quadratic regression model. Below is a partial multiple regression computer output based on a quadratic regression model.   Test the usefulness of the variable X<sup>2</sup> in the model at   = .05. Test the usefulness of the variable X2 in the model at Below is a partial multiple regression computer output based on a quadratic regression model.   Test the usefulness of the variable X<sup>2</sup> in the model at   = .05. = .05.

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In the quadratic regression model y = β\beta 0 + β\beta 1x + β\beta 2x2 + ε\varepsilon ,if the term β\beta 2 is greater than zero,then the parabola opens __________.

(Multiple Choice)
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If a regression model with k independent variables has a C statistic less than _______,then the model is considered to be desirable.

(Multiple Choice)
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In multiple regression analysis which of the following can be used to identify multicollinearity?

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The standard error decreases if and only if the adjusted multiple coefficient of determination decreases.

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