Exam 15: Multiple Regression
Exam 1: Data and Statistics84 Questions
Exam 2: Descriptive Statistics: Tabular and Graphical Displays67 Questions
Exam 3: Descriptive Statistics: Numerical Measures118 Questions
Exam 4: Introduction to Probability94 Questions
Exam 5: Discrete Probability Distributions84 Questions
Exam 6: Continuous Probability Distributions121 Questions
Exam 7: Sampling and Sampling Distributions116 Questions
Exam 8: Interval Estimation90 Questions
Exam 9: Hypothesis Tests95 Questions
Exam 10: Inference About Means and Proportions With Two Populations63 Questions
Exam 11: Inferences About Population Variances66 Questions
Exam 12: Comparing Multiple Proportions, Tests of Independence and Goodness of Fit59 Questions
Exam 13: Experimental Design and Analysis of Variance76 Questions
Exam 14: Simple Linear Regression132 Questions
Exam 15: Multiple Regression103 Questions
Exam 16: Regression Analysis: Model Building41 Questions
Exam 17: Time Series Analysis and Forecasting51 Questions
Exam 18: Nonparametric Methods58 Questions
Exam 19: Decision Analysis48 Questions
Exam 20: Index Numbers39 Questions
Exam 21: Statistical Methods for Quality Control60 Questions
Exam 22: Sample Survey48 Questions
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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.
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.
(Multiple Choice)
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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):
= 35 + .7x1 + 3x2
Also provided are SST = 1400 and SSE = 400. The estimated income (in $) of a 40-year-old male is

(Multiple Choice)
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In a multiple regression model, the values of the error term ε are assumed to be
(Multiple Choice)
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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).
= 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

(Multiple Choice)
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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.
(Multiple Choice)
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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:
= 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%. 

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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).
= 30 + .7x1 + 3x2
Also provided are SST = 1200 and SSE = 384. The yearly income (in $) expected of a 24-year-old male individual is

(Multiple Choice)
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The equation which has the form of E(y) =
= b0 + b1x1 + b2x2 + ... + bpxp is a(n)

(Multiple Choice)
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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:
= 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

(Multiple Choice)
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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
(Multiple Choice)
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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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