Exam 15: Multiple Regression

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A variable that takes on the values of 0 or 1 and is used to incorporate the effect of categorical independent variables in a regression model is called

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The _______ of an observation is determined by how far the values of the independent variables are from their means.​

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Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations. Below you are given a partial computer output from a multiple regression analysis based on a sample of 16 observations.   ​ The t value obtained from the table which is used to test an individual parameter at the 1% level is ​ The t value obtained from the table which is used to test an individual parameter at the 1% level is

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A measure of identifying the effect of an unusual x value on the regression results is called

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A regression analysis involved 5 independent variables and 99 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have _____ degrees of freedom.

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The following estimated regression equation was developed relating average yearly income (y in $1000s) of 50 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female): The following estimated regression equation was developed relating average yearly income (y in $1000s) of 50 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female):   = 35 + .7x<sub>1</sub> + 3x<sub>2</sub> <sub> </sub> Also provided are SST = 1400 and SSE = 400. The estimated income (in $) of a 40-year-old male is = 35 + .7x1 + 3x2 Also provided are SST = 1400 and SSE = 400. The estimated income (in $) of a 40-year-old male is

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In a multiple regression model, the values of the error term ε are assumed to be

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The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female). ​ The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female). ​   = 30 + .7x<sub>1</sub> + 3x<sub>2</sub>​ ​ Also provided are SST = 1200 and SSE = 384. If we want to test for the significance of the model, the critical value of F at α = .05 is = 30 + .7x1 + 3x2​ ​ Also provided are SST = 1200 and SSE = 384. If we want to test for the significance of the model, the critical value of F at α = .05 is

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A regression analysis involved 2 independent variables and 27 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have _____ degrees of freedom.

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The multiple coefficient of determination is

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A regression model involving 4 independent variables and a sample of 15 observations resulted in the following sum of squares. SSR = 165 SSE = 60 ​ The multiple coefficient of determination is

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A regression analysis involved 10independent variables and 27 observations. The critical value of t for testing the significance of each of the independent variable's coefficients will have

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A multiple regression model has the following estimated form: A multiple regression model has the following estimated form:   = 4 - 6x + 8w As x increases by 1 unit (holding w constant), y is expected to = 4 - 6x + 8w As x increases by 1 unit (holding w constant), y is expected to

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In a situation where the dependent variable can assume only one of the two possible discrete values,

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Given the following data, determine if the model is significant at 5%. Given the following data, determine if the model is significant at 5%.

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The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x1) and their gender (x2) (0 if male and 1 if female). ​ The following estimated regression equation was developed relating yearly income (y in $1000s) of 30 individuals with their age (x<sub>1</sub>) and their gender (x<sub>2</sub>) (0 if male and 1 if female). ​   = 30 + .7x<sub>1</sub> + 3x<sub>2</sub>​ ​ Also provided are SST = 1200 and SSE = 384. The yearly income (in $) expected of a 24-year-old male individual is = 30 + .7x1 + 3x2​ ​ Also provided are SST = 1200 and SSE = 384. The yearly income (in $) expected of a 24-year-old male individual is

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The equation which has the form of E(y) = The equation which has the form of E(y) =   = b<sub>0</sub> + b<sub>1</sub>x<sub>1</sub> + b<sub>2</sub>x<sub>2</sub> + ... + b<sub>p</sub>x<sub>p</sub> is a(n) = b0 + b1x1 + b2x2 + ... + bpxp is a(n)

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A regression model between sales (y in $1000), unit price (x1 in dollars), and television advertisement (x2 in dollars) resulted in the following function: ​ A regression model between sales (y in $1000), unit price (x<sub>1</sub> in dollars), and television advertisement (x<sub>2</sub> in dollars) resulted in the following function: ​   = 8 - 4x<sub>1</sub> + 5x<sub>2</sub> ​ For this model, SSR = 3500, SSE = 1500, and the sample size is 20. The coefficient of x<sub>2 </sub>indicates that if television advertisement is increased by $1 (holding the unit price constant), sales are expected to = 8 - 4x1 + 5x2 ​ For this model, SSR = 3500, SSE = 1500, and the sample size is 20. The coefficient of x2 indicates that if television advertisement is increased by $1 (holding the unit price constant), sales are expected to

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In order to test for the significance of a regression model involving 10 independent variables and 260 observations, the numerator and denominator degrees of freedom (respectively) for the critical value of F are

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In a multiple regression analysis involving 10 independent variables and 165 observations, SSR = 878 and SSE = 122. The multiple coefficient of determination is

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