Exam 14: Multiple Regression and Correlation Analysis

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If a multiple regression analysis is based on ten independent variables collected from a sample of 125 observations,what will be the value of the denominator in the calculation of the multiple standard error of estimate?

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The values of β\beta 1, β\beta 2 and β\beta 3 in a multiple regression equation are called the sample regression coefficients.

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In a regression analysis,three independent variables are used in the equation based on a sample of forty observations.What are the degrees of freedom associated with the F-statistic?

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

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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:   Based on the ANOVA and a 0.05 significance level,the global null hypothesis test of the multiple regression model Based on the ANOVA and a 0.05 significance level,the global null hypothesis test of the multiple regression model

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In multiple regression,a dummy variable is significantly related to the dependent variable when

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Which statistic is used to test a hypothesis a regression equation?

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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:   The results for the variable gender show that The results for the variable gender show that

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Multiple R2 measures the proportion of explained variation relative to total variation.

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The coefficient of determination measures the proportion of

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In multiple regression analysis,a residual is the difference between the value of an independent variable and its corresponding dependent variable value.

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In an ANOVA table for a multiple regression analysis,the global test of significance is based on the

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The multiple coefficient of determination, The multiple coefficient of determination,   ,reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables. ,reports the proportion of the variation in Y that is not explained by the variation in the set of independent variables.

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Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's).The factors selected were age,seniority,years of college,number of company divisions they had been exposed to and the level of their responsibility.A regression analysis was performed using a popular spreadsheet program with the following regression output:Twenty-one executives in a large corporation were randomly selected for a study to determine the effect of several factors on annual salary (expressed in $000's).The factors selected were age,seniority,years of college,number of company divisions they had been exposed to and the level of their responsibility.A regression analysis was performed using a popular spreadsheet program with the following regression output:  What is the value of the denominator in the calculation of the multiple standard error of estimate? ___________ What is the value of the denominator in the calculation of the multiple standard error of estimate? ___________

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For a global test of a multiple regression equation,the F- statistic is the mean square error from the ANOVA table.

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In multiple regression analysis,residual analysis is used to test the requirement that

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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:   Based on the ANOVA,the multiple coefficient of determination is Based on the ANOVA,the multiple coefficient of determination is

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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 squared 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 selling price of a house with 2000 square feet? ______ .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 selling price of a house with 2000 square feet? ______ 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 selling price of a house with 2000 square feet? ______ = selling price (times $1000) X = square feet of floor space (times 100) What is the selling price of a house with 2000 square feet? ______

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How are scatter diagrams used to evaluate the assumptions of linear regression?

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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 squared 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 selling price of a house with 1500 square feet? ______ .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 selling price of a house with 1500 square feet? ______ 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 selling price of a house with 1500 square feet? ______ = selling price (times $1000) X = square feet of floor space (times 100) What is the selling price of a house with 1500 square feet? ______

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