Exam 14: Regression Analysis
Exam 1: Statistics and Data68 Questions
Exam 2: Tabular and Graphical Methods99 Questions
Exam 3: Numerical Descriptive Measures123 Questions
Exam 4: Basic Probability Concepts107 Questions
Exam 5: Discrete Probability Distributions118 Questions
Exam 6: Continuous Probability Distributions114 Questions
Exam 7: Sampling and Sampling Distributions110 Questions
Exam 8: Interval Estimation111 Questions
Exam 9: Hypothesis Testing111 Questions
Exam 10: Statistical Inference Concerning Two Populations104 Questions
Exam 11: Statistical Inference Concerning Variance96 Questions
Exam 12: Chi-Square Tests100 Questions
Exam 13: Analysis of Variance89 Questions
Exam 14: Regression Analysis116 Questions
Exam 15: Inference With Regression Models117 Questions
Exam 16: Regression Models for Nonlinear Relationships95 Questions
Exam 17: Regression Models With Dummy Variables117 Questions
Exam 18: Time Series and Forecasting103 Questions
Exam 19: Returns, Index Numbers and Inflation98 Questions
Exam 20: Nonparametric Tests99 Questions
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Exhibit 14-8.An real estate analyst believes that the three main factors that influence an apartment's rent in a college town are the number of bedrooms,the number of bathrooms,and the apartment's square footage.For 40 apartments,she collects data on the rent (y,in $),the number of bedrooms (x1),the number of bathrooms (x2),and its square footage (x3).She estimates the following model:
.The following table shows a portion of the regression results.
Refer to Exhibit 14-8.The coefficient of determination indicates that


(Multiple Choice)
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Consider the following sample data:
a.Construct a scatterplot.
B)Calculate b1 and b0.What is the sample regression equation?
C)Find the predicted value for y if x equals 10,15 and 20.

(Essay)
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In the estimation of a multiple regression model with two explanatory variables and 20 observations,
and
.The value of adjusted R2 is closest to:


(Multiple Choice)
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Consider the following simple linear regression model:
.The explanatory variable is:

(Multiple Choice)
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A sample of 30 observations provides the following statistics:
a.Calculate and interpret the sample correlation coefficient
.
B)Specify the hypotheses to determine whether or not x and y are significantly correlated.
C)At the 5% significance level,what is the conclusion to the test using the critical-value approach? Explain.
D)At the 5% significance level,what is the conclusion to the test using the p-value approach? Explain.


(Essay)
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Exhibit 14-4.Consider the following sample regression equation
,where y is the supply for Product A (in 1000s)and x is the price of Product A (in $). Refer to Exhibit 14-4.The slope coefficient indicates that if

(Multiple Choice)
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Exhibit 14-2.A statistics student is asked to estimate
.She calculates the following values.
Refer to Exhibit 14-2.What is the sample regression equation?


(Multiple Choice)
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Exhibit 14-1.Over the past 30 years,the sample standard deviations of the rates of return for stock X and Stock Y were 0.20 and 0.12,respectively.The sample covariance between the returns of X and Y is 0.0096. Refer to Exhibit 14-1.In order to determine whether the correlation coefficient is significantly different from zero,the appropriate hypotheses are:
(Multiple Choice)
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In a simple linear regression model,if the plots on a scatter diagram lie on a straight line,what is the standard error of the estimate?
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The following scatterplot implies that the relationship between the two variables x and y is: 

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Exhibit 14-10.A sociologist examines the relationship between the poverty rate and several socioeconomic factors.For the 50 states and the District of Columbia (n = 51),he collects data on the poverty rate (y,in %),the percent of the population with at least a high school education (x1),median income (x2,in $1000s),and the mortality rate per 1,000 residents (x3).He estimates the following model:
.The following table shows a portion of the regression results.
Notes: Data obtained from the Statistical Abstract of the US for the year 2007. Refer to Exhibit 14-10.The coefficient of determination indicates that


(Multiple Choice)
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In the estimation of a multiple regression model with two explanatory variables and 20 observations,
and
.What is the value of R2?


(Multiple Choice)
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Which of the following statements is least accurate concerning correlation analysis?
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When two regression models applied on the same data set have the same response variable but a different number of explanatory variables,the model that would evidently provide the better fit is the one with a
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Exhibit 14-1.Over the past 30 years,the sample standard deviations of the rates of return for stock X and Stock Y were 0.20 and 0.12,respectively.The sample covariance between the returns of X and Y is 0.0096. Refer to Exhibit 14-1.When testing whether the correlation coefficient differs from zero,the value of the test statistic is
.At the 5% significance level,the critical value is
.The conclusion to the hypothesis test is to:


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