Exam 15: Inference With Regression Models

arrow
  • Select Tags
search iconSearch Question
  • Select Tags

If the confidence interval does not contain the value zero,then the ________ variable associated with the regression coefficient is significant.

Free
(Essay)
4.9/5
(40)
Correct Answer:
Verified

explanatory

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.The following table summarizes a portion of the regression results: 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.The following table summarizes a portion of the regression results:   a.Specify the competing hypotheses to determine whether Service is significant in explaining Salary. b.At the 5% significance level,is Service significant? Explain. a.Specify the competing hypotheses to determine whether Service is significant in explaining Salary. b.At the 5% significance level,is Service significant? Explain.

Free
(Essay)
4.9/5
(42)
Correct Answer:
Verified

The competing hypotheses when testing individual significance of explanatory variables usually are H0j = βj0;HAj ≠ βj0.Using the p-value approach,the decision rule is to reject the null hypothesis if the p-value is less than the significance level α;do not reject the null hypothesis if the p-value is greater than the significance level α.

Which of the following statements in statistical terminology is equivalent to the statement: "There is no exact linear relationship among the explanatory variables"?

Free
(Multiple Choice)
4.9/5
(35)
Correct Answer:
Verified

D

A sociologist wishes to study the relationship between happiness and age.He interviews 24 individuals and collects data on age and happiness,measured on a scale from 0 to 100.He estimates the following model: Happiness = β0 + β1Age + ε.The following table summarizes a portion of the regression results. A sociologist wishes to study the relationship between happiness and age.He interviews 24 individuals and collects data on age and happiness,measured on a scale from 0 to 100.He estimates the following model: Happiness = β<sub>0</sub> + β<sub>1</sub>Age + ε.The following table summarizes a portion of the regression results.   At the 1% significance level,which of the following is the correct confidence interval of the regression coefficient β<sub>1</sub>? At the 1% significance level,which of the following is the correct confidence interval of the regression coefficient β1?

(Multiple Choice)
4.6/5
(32)

In regression,multicollinearity is considered problematic when two or more explanatory variables are ___________.

(Multiple Choice)
4.8/5
(42)

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 1,000s)and Commercial Construction (in 1,000s)as the explanatory variables.The results of the regression are as follows: 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 1,000s)and Commercial Construction (in 1,000s)as the explanatory variables.The results of the regression are as follows:   a.At the 5% significance level,are the explanatory variables jointly significant in explaining Lumber Sales? Explain. b.At the 5% significance level,is Commercial Construction significant in explaining Lumber Sales? Explain. c.At the 5% significance level,can you conclude that the slope coefficient attached to Housing Starts differs from 1? Explain. a.At the 5% significance level,are the explanatory variables jointly significant in explaining Lumber Sales? Explain. b.At the 5% significance level,is Commercial Construction significant in explaining Lumber Sales? Explain. c.At the 5% significance level,can you conclude that the slope coefficient attached to Housing Starts differs from 1? Explain.

(Essay)
4.9/5
(43)

The term BLUE stands for Best Linear Unbiased Estimator.

(True/False)
4.7/5
(30)

An investment analyst wants to examine the relationship between a mutual fund's return,its turnover rate,and its expense ratio.She randomly selects 10 mutual funds and estimates: Return = β0 + β1Turnover + β2Expense + ε,where Return is the average five-year return (in %),Turnover is the annual holdings turnover (in %),Expense is the annual expense ratio (in %),and ε is the random error component.A portion of the regression results is shown in the accompanying table. An investment analyst wants to examine the relationship between a mutual fund's return,its turnover rate,and its expense ratio.She randomly selects 10 mutual funds and estimates: Return = β<sub>0</sub> + β<sub>1</sub>Turnover + β<sub>2</sub>Expense + ε,where Return is the average five-year return (in %),Turnover is the annual holdings turnover (in %),Expense is the annual expense ratio (in %),and ε is the random error component.A portion of the regression results is shown in the accompanying table.   a.At the 10% significance level,are the explanatory variables jointly significant in explaining Return? Explain. b.At the 10% significance level,is each explanatory variable individually significant in explaining Return? Explain. a.At the 10% significance level,are the explanatory variables jointly significant in explaining Return? Explain. b.At the 10% significance level,is each explanatory variable individually significant in explaining Return? Explain.

(Essay)
4.9/5
(31)

In a simple linear regression based on 30 observations,the following information is provided: In a simple linear regression based on 30 observations,the following information is provided:   = 32.3 + 1.45x and s<sub>e </sub>= 3.2.Also,   evaluated at x = 20 is 1.3. a.Construct a 95% confidence interval for E(y)if x = 20. b.Construct a 95% prediction interval for y if x = 20. = 32.3 + 1.45x and se = 3.2.Also, In a simple linear regression based on 30 observations,the following information is provided:   = 32.3 + 1.45x and s<sub>e </sub>= 3.2.Also,   evaluated at x = 20 is 1.3. a.Construct a 95% confidence interval for E(y)if x = 20. b.Construct a 95% prediction interval for y if x = 20. evaluated at x = 20 is 1.3. a.Construct a 95% confidence interval for E(y)if x = 20. b.Construct a 95% prediction interval for y if x = 20.

(Essay)
4.8/5
(33)

Tiffany & Co.has been the world's premier jeweler since 1837.The performance of Tiffany's stock is likely to be strongly influenced by the economy.Monthly data for Tiffany's risk-adjusted return and the risk-adjusted market return are collected for a five-year period (n = 60).The accompanying table shows the regression results when estimating the CAPM model for Tiffany's return. Tiffany & Co.has been the world's premier jeweler since 1837.The performance of Tiffany's stock is likely to be strongly influenced by the economy.Monthly data for Tiffany's risk-adjusted return and the risk-adjusted market return are collected for a five-year period (n = 60).The accompanying table shows the regression results when estimating the CAPM model for Tiffany's return.   To determine whether abnormal returns exist,which of the following competing hypotheses do you set up? To determine whether abnormal returns exist,which of the following competing hypotheses do you set up?

(Multiple Choice)
4.9/5
(35)

The _________ model is a complete model that imposes no restrictions on the coefficients.

(Essay)
4.9/5
(38)

Given the following portion of regression results,which of the following is the value of the F(2,20) test statistic? Given the following portion of regression results,which of the following is the value of the F<sub>(2,20)</sub> test statistic?

(Multiple Choice)
4.6/5
(28)

The accompanying table shows the regression results when estimating y = β0 + β1x1 + β2x2 + β3x3 + ε. The accompanying table shows the regression results when estimating y = β<sub>0</sub> + β<sub>1</sub>x<sub>1</sub> + β<sub>2</sub>x<sub>2</sub> + β<sub>3</sub>x<sub>3</sub> + ε.   When testing whether or not x<sub>1</sub> and x<sub>2</sub> are jointly significant,the null hypothesis is ____________. When testing whether or not x1 and x2 are jointly significant,the null hypothesis is ____________.

(Multiple Choice)
4.8/5
(30)

A researcher studies the relationship between SAT scores,the test-taker's family income,and his or her grade point average (GPA).Data are collected from 24 students.He estimates the following model: SAT = β0 + β1 GPA + β2 Income + ε.The following table summarizes a portion of the regression results. A researcher studies the relationship between SAT scores,the test-taker's family income,and his or her grade point average (GPA).Data are collected from 24 students.He estimates the following model: SAT = β<sub>0</sub> + β<sub>1</sub> GPA + β<sub>2</sub> Income + ε.The following table summarizes a portion of the regression results.   Which of the following is the correct hypotheses for testing the joint significance? Which of the following is the correct hypotheses for testing the joint significance?

(Multiple Choice)
4.8/5
(38)

Which of the following is the correct expression for computing a 100(1 - α)% confidence interval of the expected value of y?

(Multiple Choice)
4.8/5
(28)

A 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: Rent = β0 + β1 Bedroom + β2 Bath + β3Sqft + ε.The following table shows a portion of the regression results. A 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 (x<sub>1</sub>),the number of bathrooms (x<sub>2</sub>),and its square footage (x<sub>3</sub>).She estimates the following model: Rent = β<sub>0</sub> + β<sub>1</sub> Bedroom + β<sub>2</sub> Bath + β<sub>3</sub>Sqft + ε.The following table shows a portion of the regression results.   When testing whether the explanatory variables jointly influence the response variable,the null hypothesis is ________. When testing whether the explanatory variables jointly influence the response variable,the null hypothesis is ________.

(Multiple Choice)
4.8/5
(34)

Consider the following simple linear regression model: y = β0 + β1x + ε.When determining whether x significantly influences y,the null hypothesis takes the form ______________.

(Multiple Choice)
4.9/5
(38)

The F test can be applied for any number of linear restrictions;the resulting test is often referred to as the _____ F test.

(Essay)
4.9/5
(30)

Consider the following regression results based on 30 observations. Consider the following regression results based on 30 observations.   = 238.33 - 0.95x + 7.13x<sub>2 </sub>+ 4.76x<sub>3</sub>;SSE = 3,439   = 209.56 - 1.03x<sub>1</sub> + 5.24(x<sub>2</sub> + x<sub>3</sub>);SSE = 3,559 a.Formulate the hypotheses to determine whether the influences of x<sub>2 </sub>and x<sub>3</sub> differ in explaining y. b.Calculate the value of the test statistic. c.At the 5% significance level,find the critical value(s). d.What is your conclusion to the test? = 238.33 - 0.95x + 7.13x2 + 4.76x3;SSE = 3,439 Consider the following regression results based on 30 observations.   = 238.33 - 0.95x + 7.13x<sub>2 </sub>+ 4.76x<sub>3</sub>;SSE = 3,439   = 209.56 - 1.03x<sub>1</sub> + 5.24(x<sub>2</sub> + x<sub>3</sub>);SSE = 3,559 a.Formulate the hypotheses to determine whether the influences of x<sub>2 </sub>and x<sub>3</sub> differ in explaining y. b.Calculate the value of the test statistic. c.At the 5% significance level,find the critical value(s). d.What is your conclusion to the test? = 209.56 - 1.03x1 + 5.24(x2 + x3);SSE = 3,559 a.Formulate the hypotheses to determine whether the influences of x2 and x3 differ in explaining y. b.Calculate the value of the test statistic. c.At the 5% significance level,find the critical value(s). d.What is your conclusion to the test?

(Essay)
4.8/5
(34)

An economist estimates the following model: y = β0 + β1x + ε.She would like to construct interval estimates for y when x equals 2.She estimates a modified model where y is the response variable and the explanatory variable is now defined as x+ = x - 2.A portion of the regression results is shown in the accompanying table. An economist estimates the following model: y = β<sub>0</sub> + β<sub>1</sub>x + ε.She would like to construct interval estimates for y when x equals 2.She estimates a modified model where y is the response variable and the explanatory variable is now defined as x<sup>+</sup> = x - 2.A portion of the regression results is shown in the accompanying table.     According to the modified model,which of the following is the predicted value of y when x equals 2? An economist estimates the following model: y = β<sub>0</sub> + β<sub>1</sub>x + ε.She would like to construct interval estimates for y when x equals 2.She estimates a modified model where y is the response variable and the explanatory variable is now defined as x<sup>+</sup> = x - 2.A portion of the regression results is shown in the accompanying table.     According to the modified model,which of the following is the predicted value of y when x equals 2? According to the modified model,which of the following is the predicted value of y when x equals 2?

(Multiple Choice)
4.9/5
(39)
Showing 1 - 20 of 124
close modal

Filters

  • Essay(0)
  • Multiple Choice(0)
  • Short Answer(0)
  • True False(0)
  • Matching(0)