Exam 14: Regression Analysis
Exam 1: Statistics and Data100 Questions
Exam 2: Tabular and Graphical Methods123 Questions
Exam 3: Numerical Descriptive Measures151 Questions
Exam 4: Basic Probability Concepts116 Questions
Exam 5: Discrete Probability Distributions139 Questions
Exam 6: Continuous Probability Distributions128 Questions
Exam 7: Sampling and Sampling Distributions124 Questions
Exam 8: Interval Estimation123 Questions
Exam 9: Hypothesis Testing135 Questions
Exam 10: Statistical Inference Concerning Two Populations124 Questions
Exam 11: Statistical Inference Concerning Variance111 Questions
Exam 12: Chi-Square Tests120 Questions
Exam 13: Analysis of Variance58 Questions
Exam 14: Regression Analysis140 Questions
Exam 15: Inference With Regression Models124 Questions
Exam 16: Regression Models for Nonlinear Relationships115 Questions
Exam 17: Regression Models With Dummy Variables114 Questions
Exam 18: Time Series and Forecasting124 Questions
Exam 19: Returns, Index Numbers and Inflation120 Questions
Exam 20: Nonparametric Tests108 Questions
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Given the augmented Phillips model: y = β0 + β1x1+β2x2 +ε,where y = actual rate of inflation (%),x1 = unemployment rate (%),and x2 = anticipated inflation rate (%).The response variable or variables(s)in this model is (are)the ___________________.
(Multiple Choice)
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Unlike the coefficient of determination,the coefficient of correlation in a simple linear regression ___________.
(Multiple Choice)
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The variance of the rates of return is 0.25 for stock X and 0.01 for stock Y.The covariance between the returns of X and Y is -0.01.The correlation of the rates of return between X and Y is _____.
(Multiple Choice)
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The R2 of a multiple regression of y on x1 and x2 measures the __________.
(Multiple Choice)
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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 as = β0 + β1 Education + β2 Income + β3 Mortality + ε.The following ANOVA table shows a portion of the regression results.
What is the poverty rate for a state where 85% of the population has at least a high school education,the median income is $50,000,and the mortality rate is 10 per 1,000 residents?

(Multiple Choice)
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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 as Rent = β0 + β1 Bedroom + β2 Bath + β3 Sqft + ε.The following ANOVA table shows a portion of the regression results.
The coefficient of determination indicates that __________.

(Multiple Choice)
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Costco sells paperback books in their retail stores and wanted to examine the relationship between price and demand.The price of a particular novel was adjusted each week and the weekly sales were recorded in the following table.
Management would like to use simple regression analysis to estimate weekly demand for this novel using the price of the novel.The coefficient of determination for this sample is equal to ________.

(Multiple Choice)
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The capital asset pricing model is given by R - RF = α + β(RM - Rf)+ ε,where RM = expected return on the market,Rf = risk-free market return,and R = expected return on a stock or portfolio of interest.The response variable in this model is ________.
(Multiple Choice)
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A regression equation was estimated as
= -100 + 0.5x.If x = 20,the predicted value of y is _____.

(Multiple Choice)
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Covariance can be used to determine if the linear relationship between two variables is positive or negative.
(True/False)
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With regression analysis,we explicitly assume that one variable,called the _______ variable,is influenced by other variable,called the explanatory variable.
(Essay)
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The following data for five years of the annual returns for two of Vanguard's mutual funds,the Vanguard Energy Fund (x)and the Vanguard Healthcare Fund (y),were given as sx = 35.77,sy = 13.34,sxy = 447.68.The competing hypotheses are
.Which of the following is the value of the test statistic?

(Multiple Choice)
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A manager at a local bank analyzed the relationship between monthly salary (y,in $)and length of service (x,measured in months)for 30 employees.She estimates the model: Salary = β0 +β1 Advertising + ε.The following ANOVA table below shows a portion of the regression results.
Which of the following is the monthly salary of an employee that has worked for 48 months at the bank?

(Multiple Choice)
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In a simple linear regression model,if the plots on a scatter diagram lie on a straight line,which of the following is the coefficient of determination?
(Multiple Choice)
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Over the past 30 years,the sample standard deviations of the rates of return for stock X and sStock Y were 0.20 and 0.12,respectively.The sample covariance between the returns of X and Y is 0.0096.The correlation of the rates of return between X and Y is the closest to ____.
(Multiple Choice)
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In testing the population correlation coefficient,the alternative hypothesis is HA: ρxy ≠ 1.
(True/False)
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A statistics student is asked to estimate y = β0 + β1x + ε.She calculates the following values:
= 440,
,
= 1,120,n = 11.Which of the following is the sample regression equation?



(Multiple Choice)
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The following data for five years of the annual returns for two of Vanguard's mutual funds,the Vanguard Energy Fund (x)and the Vanguard Healthcare Fund (y),were given as sx = 35.77,sy = 13.34,sxy = 447.68.The competing hypotheses are
.At the 5% significance level,which of the following is the critical value of the test statistic?

(Multiple Choice)
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Assume you ran a multiple regression to gain a better understanding of the relationship between lumber sales,housing starts,and commercial construction.The regression uses lumber sales (in $100,000s)as the response variable with housing starts (in 1000s)(in 1,000s)and commercial construction (in 1000s)(in 1,000s)as the explanatory variables.The estimated model is Lumber Sales = β0 + β1 Housing Starts + β2Commercial Contructions + ε.The following ANOVA table summarizes a portion of the regression results.
The standard deviation of the difference between actual lumber sales and the estimate of those sales is ____.

(Multiple Choice)
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The value 0.35 of a sample correlation coefficient indicates a weaker linear relationship than that of -0.40.
(True/False)
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