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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.The following table shows the number of cars sold last month by six dealers at Centreville Nissan dealership and their number of years of sales experience.
Management would like to use simple regression analysis to estimate monthly car sales using the number of years of sales experience.The standard error of the estimate is equal to _______.

(Multiple Choice)
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Consider the following data:
= 20,sx =2,
= -5,sy =4,and b1 = -0.8.The sample correlation coefficient,rxy is equal to ____.


(Multiple Choice)
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Simple linear regression includes more than one explanatory variable.
(True/False)
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Which of the following statements is the leastaccurate concerning correlation analysis?
(Multiple Choice)
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Consider the following sample regression equation
= 200 + 10x,where y is the supply for Product A (in 1000s)(in 1,000s)and x is the price of Product A (in $).The slope coefficient indicates that if ___________.

(Multiple Choice)
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The following ANOVA table was obtained when estimating a multiple regression model.
a.Calculate the standard error of the estimate.
b.Calculate the coefficient of determination.
c.Calculate adjusted R2.

(Essay)
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An marketing analyst wants to examine the relationship between sales (in $1,000s)and advertising (in $100s)for firms in the food and beverage industry and collects monthly data for 25 firms.He estimates the model: Sales = β0 +β1 Advertising + ε.The following ANOVA table below shows a portion of the regression results.
Which of the following is true?

(Multiple Choice)
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The following portion of regression results was obtained when estimating a simple linear regression model.
a.What is the sample regression equation?
b.Interpret the slope coefficient for x1.
c.Find the predicted value for y if x1 equals 200.
d.Fill in the missing values A and B in the ANOVA table.
e.Calculate the standard error of the estimate.
f.Calculate R2.

(Essay)
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Which of the following is a common approach to fitting a line to the scatterplot?
(Multiple Choice)
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A scatterplot can help determine if two variables are related in some systematic way.
(True/False)
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In the estimation of a multiple regression model with two explanatory variables and 20 observations,SSE = 550 and SST = 1,000.The value of adjusted R2 is the closest to ____.
(Multiple Choice)
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Consider the sample regression equation
= 10 - 5x,with an R2 value of 0.65.Which of the following is the value of the sample correlation between y and
?


(Multiple Choice)
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Consider the following sample data.:
a.Construct and interpret a scatterplot.
b.Calculate and interpret the sample covariance.
c.Calculate and interpret the sample correlation coefficient.

(Essay)
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The sample standard deviations for x and y are 10 and 15,respectively.The covariance between x and y is −120.The correlation coefficient between x and y is _____.
(Multiple Choice)
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A simple linear regression of the return of firm A (RA)on the return of firm B (RB)based on 18 observations,is
= 2.2 + 0.4 RB.If the coefficient of determination from this regression is 0.09,calculate the correlation between nRA and
.


(Multiple Choice)
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The simple linear regression model can be written in the form y = β0 + β1x1 + β2x2 + ε.
(True/False)
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Consider the following simple linear regression model: y = β0 + β1x +ε.The explanatory variable is ____.
(Multiple Choice)
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A statistics instructor wants to examine the relationship between the hours a student spends studying for the final exam (Hours)and a student's grade on the final exam (Grade).She takes a sample of five students.
a.Compute the sample correlation coefficient.
b.Specify the competing hypotheses in order to determine whether the hours spent studying and the final grade are correlated.
c.Calculate the value of the test statistic and approximate the corresponding p-value.
d.At the 10% significance level,what is the conclusion to the test? Explain.

(Essay)
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Consider the sample regression equation:
= 12 + 2x1 - 6x2 + 6x3 + 2x4.When x1 increases 1 unit and x2 increases 2 units,while x3 and x4 remain unchanged,what change would you expect in the predicted y?

(Multiple Choice)
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