Exam 14: Multiple Regression and Correlation Analysis

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The following correlations were computed as part of a multiple regression analysis that used education,job,and age to predict income. The following correlations were computed as part of a multiple regression analysis that used education,job,and age to predict income.   Which independent variable has the strongest association with the dependent variable? Which independent variable has the strongest association with the dependent variable?

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In a multiple regression ANOVA table,explained variation is represented by

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What are the degrees of freedom associated with the regression sum of squares?

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Which of the following is a characteristic of the F-distribution?

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A correlation matrix can be used to assess multicollinearity between independent variables.

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How is the degree of association between a set of independent variables and a dependent variable measured?

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A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months),gender (0 = female,1 = male)and job type (0 = clerical,1 = technical).The following ANOVA summarizes the regression results: A manager at a local bank analyzed the relationship between monthly salary and three independent variables: length of service (measured in months),gender (0 = female,1 = male)and job type (0 = clerical,1 = technical).The following ANOVA summarizes the regression results:   In the regression model,which of the following are dummy variables? In the regression model,which of the following are dummy variables?

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How are residual plots drawn and used to evaluate the assumptions of linear regression?

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Which statistic is used to test hypotheses about individual regression coefficients?

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If the hypothesis,Ho: β\beta 1= 0 is rejected,then the sample regression coefficeint b1,indicates the change in the predicted value for a unit change in X1 when all other Xi variables are held constant.

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A real estate agent developed a model to relate a house's selling price (Y)to the area of floor space (X)and the area of floor space squaredA real estate agent developed a model to relate a house's selling price (Y)to the area of floor space (X)and the area of floor space squared  .The multiple regression equation for this model is:   where:   = selling price (times $1000) X = square feet of floor space (times 100) What is the intercept (a)? _____________ .The multiple regression equation for this model is: A real estate agent developed a model to relate a house's selling price (Y)to the area of floor space (X)and the area of floor space squared  .The multiple regression equation for this model is:   where:   = selling price (times $1000) X = square feet of floor space (times 100) What is the intercept (a)? _____________ where: A real estate agent developed a model to relate a house's selling price (Y)to the area of floor space (X)and the area of floor space squared  .The multiple regression equation for this model is:   where:   = selling price (times $1000) X = square feet of floor space (times 100) What is the intercept (a)? _____________ = selling price (times $1000) X = square feet of floor space (times 100) What is the intercept (a)? _____________

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What happens as the scatter of data values about the regression plane increases?

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In the general multiple regression equation which of the following variables represents the Y intercept?

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In multiple regression analysis,a variable whose possible outcomes are coded as a "1" or a "0" is called a(n)__________________________.

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An example of a dummy variable is three different "brands of MP3 player".

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A variance inflation factor cannot be computed for a dummy variable.

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Autocorrelation often happens when data has been collected over periods of time.

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The values of b1,b2 and b3 in a multiple regression equation are called the sample regression coefficients.

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The best example of a null hypothesis for a global test of a multiple regression model is: The best example of a null hypothesis for a global test of a multiple regression model is:

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The best example of an alternate hypothesis for a global test of a multiple regression model is: The best example of an alternate hypothesis for a global test of a multiple regression model is:

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