Question 1

If the Durbin-Watson statistic is greater than (4 - dL),then we conclude that:

Accepted Answer

A) There is significant positive autocorrelation. 
B) There is significant negative autocorrelation. 
C) There is significant autocorrelation,but we cannot identify whether it is positive or negative. 
D) The test result is inconclusive. 
A) There is significant positive autocorrelation. 
B) There is significant negative autocorrelation. 
C) There is significant autocorrelation,but we cannot identify whether it is positive or negative. 
D) The test result is inconclusive. B

Question 2

Which of the following is a violation of the independence assumption?

Accepted Answer

A) Negative autocorrelation 
B) A pattern of cyclical error terms over time 
C) Positive autocorrelation 
D) A pattern of alternating error terms over time 
E) All of these 
A) Negative autocorrelation 
B) A pattern of cyclical error terms over time 
C) Positive autocorrelation 
D) A pattern of alternating error terms over time 
E) All of these E

Question 3

Based on 30 time-ordered observations from a simple regression,we have determined the Durbin-Watson statistic,d = 2.71.At α = .05,test to determine if there is any evidence of negative autocorrelation.State your conclusions.

Accepted Answer

Yes,there is evidence of negative autocorrelation,because 2.71 > 2.65.

Question 4

A simple regression analysis with 20 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.

Accepted Answer

A) 1,20 
B) 18,19 
C) 19,20 
D) 1,19 
E) 18,20 
A) 1,20 
B) 18,19 
C) 19,20 
D) 1,19 
E) 18,20

Question 5

Consider the following partial computer output from a simple linear regression analysis.   Analysis of Variance   What is the unexplained variance?

Accepted Answer

The answer of Consider the following partial computer output from...

Question 6

The dependent variable is the variable that is being described,predicted,or controlled.

Accepted Answer

A) True 
 B)False

Question 7

A local tire dealer wants to predict the number of tires sold each month.He believes that the number of tires sold is a linear function of the amount of money invested in advertising.He randomly selects 6 months of data consisting of monthly tire sales (in thousands of tires)and monthly advertising expenditures (in thousands of dollars).Residuals are calculated for all of the randomly selected six months and ordered from smallest to largest.Determine the normal score for the smallest residual.

Accepted Answer

The answer of A local tire dealer wants to predict...

Question 8

Which of the following is a violation of one of the major assumptions of the simple regression model?

Accepted Answer

A) The error terms are independent of each other. 
B) A histogram of the residuals forms a bell-shaped,symmetrical curve. 
C) The error terms show no pattern. 
D) As the value of x increases,the value of the error term also increases. 
A) The error terms are independent of each other. 
B) A histogram of the residuals forms a bell-shaped,symmetrical curve. 
C) The error terms show no pattern. 
D) As the value of x increases,the value of the error term also increases.

Question 9

Consider the following partial computer output from a simple linear regression analysis.   Analysis of Variance   Test H0: β1 = 0 versus Ha: β1 ≠ 0 by setting α = .001.What do you conclude about the relationship between y and x?

Accepted Answer

Reject the null hypo

Question 10

Consider the following partial computer output from a simple linear regression analysis.   Analysis of Variance   Determine the 95 percent confidence interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03 and ∑x2 = 1178.547

Accepted Answer

Question 11

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below.   Using the simple linear regression model,find the estimated y-intercept and slope and write the equation of the least squares regression line.

Accepted Answer

The answer of An experiment was performed on a certain...

Question 12

If the Durbin-Watson statistic is less than dL,then we conclude that:

Accepted Answer

A) There is significant positive autocorrelation. 
B) There is significant negative autocorrelation. 
C) There is significant autocorrelation,but we cannot identify whether it is positive or negative. 
D) The test results are inconclusive. 
A) There is significant positive autocorrelation. 
B) There is significant negative autocorrelation. 
C) There is significant autocorrelation,but we cannot identify whether it is positive or negative. 
D) The test results are inconclusive.

Question 13

All of the following are assumptions of the error terms in the simple linear regression model except:

Accepted Answer

A) Errors are normally distributed. 
B) Error terms have a mean of zero. 
C) Error terms have a constant variance. 
D) Error terms are dependent on each other. 
A) Errors are normally distributed. 
B) Error terms have a mean of zero. 
C) Error terms have a constant variance. 
D) Error terms are dependent on each other.

Question 14

Consider the following partial computer output from a simple linear regression analysis.   What is the estimated slope?

Accepted Answer

The answer of Consider the following partial computer output from...

Question 15

The range for r2 is between 0 and 1,and the range for r is between ____________.

Accepted Answer

A) 0 and 1 
B) -1 and 1 
C) -1 and 0 
D) no limit 
A) 0 and 1 
B) -1 and 1 
C) -1 and 0 
D) no limit

Question 16

Consider the following partial computer output from a simple linear regression analysis.   What is the predicted value of y when x = 1,000?

Accepted Answer

The answer of Consider the following partial computer output from...

Question 17

Consider the following partial computer output from a simple linear regression analysis.   Analysis of Variance   Determine the 95 percent prediction interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03,∑x2 = 1178.547

Accepted Answer

Question 18

The following results were obtained from a simple regression analysis:
Ŷ = 37.2895 - 1.2024X
r2 = .6744 sb = .2934
When X (independent variable)is equal to zero,what is the estimated value of Y (dependent variable)?

Accepted Answer

Question 19

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

Accepted Answer

F = 6.32;F

Question 20

A simple linear regression model is an equation that describes the straight-line relationship between a dependent variable and an independent variable.

Accepted Answer

A) True 
 B)False

If the Durbin-Watson statistic is greater than (4 - d_L),then we conclude that:

Which of the following is a violation of the independence assumption?

Based on 30 time-ordered observations from a simple regression,we have determined the Durbin-Watson statistic,d = 2.71.At α = .05,test to determine if there is any evidence of negative autocorrelation.State your conclusions.

A simple regression analysis with 20 observations would yield degrees of freedom error and _ degrees of freedom total.

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance What is the unexplained variance?

The dependent variable is the variable that is being described,predicted,or controlled.

Which of the following is a violation of one of the major assumptions of the simple regression model?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Test H₀: β₁ = 0 versus H_a: β₁ ≠ 0 by setting α = .001.What do you conclude about the relationship between y and x?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent confidence interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03 and ∑x² = 1178.547

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below. Using the simple linear regression model,find the estimated y-intercept and slope and write the equation of the least squares regression line.

If the Durbin-Watson statistic is less than d_L,then we conclude that:

All of the following are assumptions of the error terms in the simple linear regression model except:

Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

The range for r² is between 0 and 1,and the range for r is between ____________.

Consider the following partial computer output from a simple linear regression analysis. What is the predicted value of y when x = 1,000?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent prediction interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03,∑x² = 1178.547

The following results were obtained from a simple regression analysis: Ŷ = 37.2895 - 1.2024X r² = .6744 s_b = .2934 When X (independent variable)is equal to zero,what is the estimated value of Y (dependent variable)?

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

A simple linear regression model is an equation that describes the straight-line relationship between a dependent variable and an independent variable.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Multiple Regression and Model Building

Process Improvement Using Control Charts

Filters

Exam 13: Simple Linear Regression Analysis

If the Durbin-Watson statistic is greater than (4 - dL),then we conclude that:

Which of the following is a violation of the independence assumption?

Based on 30 time-ordered observations from a simple regression,we have determined the Durbin-Watson statistic,d = 2.71.At α = .05,test to determine if there is any evidence of negative autocorrelation.State your conclusions.

A simple regression analysis with 20 observations would yield ________ degrees of freedom error and _________ degrees of freedom total.

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance What is the unexplained variance?

The dependent variable is the variable that is being described,predicted,or controlled.

Which of the following is a violation of one of the major assumptions of the simple regression model?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Test H0: β1 = 0 versus Ha: β1 ≠ 0 by setting α = .001.What do you conclude about the relationship between y and x?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent confidence interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03 and ∑x2 = 1178.547

An experiment was performed on a certain metal to determine if the strength is a function of heating time.Results based on 10 metal sheets are given below. Using the simple linear regression model,find the estimated y-intercept and slope and write the equation of the least squares regression line.

If the Durbin-Watson statistic is less than dL,then we conclude that:

All of the following are assumptions of the error terms in the simple linear regression model except:

Consider the following partial computer output from a simple linear regression analysis. What is the estimated slope?

The range for r2 is between 0 and 1,and the range for r is between ____________.

Consider the following partial computer output from a simple linear regression analysis. What is the predicted value of y when x = 1,000?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent prediction interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03,∑x2 = 1178.547

The following results were obtained from a simple regression analysis: Ŷ = 37.2895 - 1.2024X r2 = .6744 sb = .2934 When X (independent variable)is equal to zero,what is the estimated value of Y (dependent variable)?

Complete the following partial ANOVA table from a simple linear regression analysis with a sample size of 16 observations.Find the F statistic to test the significance of the model.

A simple linear regression model is an equation that describes the straight-line relationship between a dependent variable and an independent variable.

An Introduction to Business Statistics

Descriptive Statistics: Tabular and Graphical Methods

Descriptive Statistics: Numerical Methods

Probability

Discrete Random Variables

Continuous Random Variables

Sampling and Sampling Distributions

Confidence Intervals

Hypothesis Testing

Statistical Inferences Based on Two Samples

Experimental Design and Analysis of Variance

Chi-Square Tests

Multiple Regression and Model Building

Process Improvement Using Control Charts

Filters

If the Durbin-Watson statistic is greater than (4 - d_L),then we conclude that:

A simple regression analysis with 20 observations would yield degrees of freedom error and _ degrees of freedom total.

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Test H₀: β₁ = 0 versus H_a: β₁ ≠ 0 by setting α = .001.What do you conclude about the relationship between y and x?

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent confidence interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03 and ∑x² = 1178.547

If the Durbin-Watson statistic is less than d_L,then we conclude that:

The range for r² is between 0 and 1,and the range for r is between ____________.

Consider the following partial computer output from a simple linear regression analysis. Analysis of Variance Determine the 95 percent prediction interval for the mean value of y when x = 9.00.Givens: ∑x = 129.03,∑x² = 1178.547

The following results were obtained from a simple regression analysis: Ŷ = 37.2895 - 1.2024X r² = .6744 s_b = .2934 When X (independent variable)is equal to zero,what is the estimated value of Y (dependent variable)?