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Consider the following partially completed computer printout for a regression analysis where the dependent variable is the price of a personal computer and the independent variable is the size of the hard drive. Consider the following partially completed computer printout for a regression analysis where the dependent variable is the price of a personal computer and the independent variable is the size of the hard drive. Based on the information provided,what is the estimate for the standard error of the estimate for the regression model? A) Approximately 690.50 B) About 4,026 C) Just under 376.23 D) 476,800 Based on the information provided,what is the estimate for the standard error of the estimate for the regression model?


A) Approximately 690.50
B) About 4,026
C) Just under 376.23
D) 476,800

E) A) and D)
F) A) and C)

Correct Answer

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The values of the regression coefficients are found such the sum of the residuals is minimized.

A) True
B) False

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If the correlation of x and y is -0.65,then coefficient of determination is -0.4225.

A) True
B) False

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A recent study of 15 shoppers showed that the correlation between the time spent in the store and the dollars spent was 0.235.Using a significance level equal to 0.05,which of the following is the test statistic for testing whether the true population correlation is equal to zero?


A) t = 0.245
B) t = 1.76
C) t = 2.1604
D) t = 0.872

E) A) and D)
F) A) and C)

Correct Answer

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A cellular phone service provider believes that there is negative correlation between the minutes used by its customers and the age of the customer.To test this,the following would be the appropriate null and alternative hypotheses: A cellular phone service provider believes that there is negative correlation between the minutes used by its customers and the age of the customer.To test this,the following would be the appropriate null and alternative hypotheses:

A) True
B) False

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If a pair of variables have a strong curvilinear relationship,which of the following is true?


A) The correlation coefficient will be able to indicate that curvature is present.
B) A scatter plot will not be needed to indicate that curvature is present.
C) The correlation coefficient will not be able to indicate the relationship is curved.
D) The correlation coefficient will be equal to zero.

E) A) and D)
F) B) and C)

Correct Answer

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Which of the following is a correct interpretation for the regression slope coefficient?


A) For a one-unit change in y,we can expect the value of the independent variable to change by b1 units on average.
B) For each unit change in x,the dependent variable will change by b1 units.
C) The average change in y of a one-unit change in x will be b1 units.
D) The average change in x of a one-unit change in y will be b1 units.

E) B) and D)
F) A) and D)

Correct Answer

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If a simple least squares regression model is developed based on sample where the two variables are known to be positively correlated,the sign on the regression coefficient will be positive also.

A) True
B) False

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Which of the following is NOT an assumption for the simple linear regression model?


A) The individual error terms are statistically independent.
B) The distribution of the error terms will be skewed left or right depending on the shape of the dependent variable.
C) The error terms have equal variances for all values of the independent variable.
D) The mean of the dependent variable value for all levels of x can be connected by a straight line.

E) A) and C)
F) B) and C)

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The following regression model has been computed based on a sample of twenty observations: The following regression model has been computed based on a sample of twenty observations: = 34.2 + 19.3x.Given this model,the predicted value for y when x = 40 is 806.2. = 34.2 + 19.3x.Given this model,the predicted value for y when x = 40 is 806.2.

A) True
B) False

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A recent study by a major financial investment company was interested in determining whether the annual percentage change in stock price for companies is linearly related to the annual percent change in profits for the company.The following data was determined for 8 randomly selected companies: A recent study by a major financial investment company was interested in determining whether the annual percentage change in stock price for companies is linearly related to the annual percent change in profits for the company.The following data was determined for 8 randomly selected companies: Based upon this sample information,what portion of variation in stock price percentage change is explained by the percent change in yearly income? A) Approximately 70 percent B) Nearly 19 percent C) About 49 percent D) None of the above Based upon this sample information,what portion of variation in stock price percentage change is explained by the percent change in yearly income?


A) Approximately 70 percent
B) Nearly 19 percent
C) About 49 percent
D) None of the above

E) All of the above
F) C) and D)

Correct Answer

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In a university statistics course a correlation of -0.8 was found between numbers of classes missed and course grade.This means that the fewer classes students missed the higher the grade.

A) True
B) False

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The following regression output is available.Notice that some of the values are missing. The following regression output is available.Notice that some of the values are missing. Given this information,what is the test statistic for testing whether the regression slope coefficient is equal to zero? A) Approximately t = 3.04 B) About t = 2.19 C) About t = 9.24 D) About t = 2.39 Given this information,what is the test statistic for testing whether the regression slope coefficient is equal to zero?


A) Approximately t = 3.04
B) About t = 2.19
C) About t = 9.24
D) About t = 2.39

E) B) and C)
F) A) and B)

Correct Answer

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Use the following regression results to answer the question below. Use the following regression results to answer the question below. ANOVA Which of the following is true? A) The correlation between x and y must be approximately 0.8851. B) The correlation between x and y must be approximately -0.8851. C) The correlation between x and y must be approximately 0.7835. D) The correlation between x and y must be approximately -0.7835. ANOVA Use the following regression results to answer the question below. ANOVA Which of the following is true? A) The correlation between x and y must be approximately 0.8851. B) The correlation between x and y must be approximately -0.8851. C) The correlation between x and y must be approximately 0.7835. D) The correlation between x and y must be approximately -0.7835. Use the following regression results to answer the question below. ANOVA Which of the following is true? A) The correlation between x and y must be approximately 0.8851. B) The correlation between x and y must be approximately -0.8851. C) The correlation between x and y must be approximately 0.7835. D) The correlation between x and y must be approximately -0.7835. Which of the following is true?


A) The correlation between x and y must be approximately 0.8851.
B) The correlation between x and y must be approximately -0.8851.
C) The correlation between x and y must be approximately 0.7835.
D) The correlation between x and y must be approximately -0.7835.

E) C) and D)
F) All of the above

Correct Answer

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A study was recently performed by the Internal Revenue Service to determine how much tip income waiters and waitresses should make based on the size of the bill at each table.A random sample of bills and resulting tips were collected and the following regression results were observed: SUMMARY OUTPUT A study was recently performed by the Internal Revenue Service to determine how much tip income waiters and waitresses should make based on the size of the bill at each table.A random sample of bills and resulting tips were collected and the following regression results were observed: SUMMARY OUTPUT ANOVA Given this output,the upper limit for the 95 percent confidence interval estimate for the true regression slope coefficient is approximately 0.28. ANOVA A study was recently performed by the Internal Revenue Service to determine how much tip income waiters and waitresses should make based on the size of the bill at each table.A random sample of bills and resulting tips were collected and the following regression results were observed: SUMMARY OUTPUT ANOVA Given this output,the upper limit for the 95 percent confidence interval estimate for the true regression slope coefficient is approximately 0.28. A study was recently performed by the Internal Revenue Service to determine how much tip income waiters and waitresses should make based on the size of the bill at each table.A random sample of bills and resulting tips were collected and the following regression results were observed: SUMMARY OUTPUT ANOVA Given this output,the upper limit for the 95 percent confidence interval estimate for the true regression slope coefficient is approximately 0.28. Given this output,the upper limit for the 95 percent confidence interval estimate for the true regression slope coefficient is approximately 0.28.

A) True
B) False

Correct Answer

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In a simple regression model,if the regression model is deemed to be statistically significant,it means that the regression slope coefficient is significantly greater than zero.

A) True
B) False

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A study was recently done in which the following regression output was generated using Excel. SUMMARY OUTPUT A study was recently done in which the following regression output was generated using Excel. SUMMARY OUTPUT ANOVA Given this,we know that approximately 57 percent of the variation in y variable is explained by the x variable. ANOVA A study was recently done in which the following regression output was generated using Excel. SUMMARY OUTPUT ANOVA Given this,we know that approximately 57 percent of the variation in y variable is explained by the x variable. A study was recently done in which the following regression output was generated using Excel. SUMMARY OUTPUT ANOVA Given this,we know that approximately 57 percent of the variation in y variable is explained by the x variable. Given this,we know that approximately 57 percent of the variation in y variable is explained by the x variable.

A) True
B) False

Correct Answer

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A dependent variable is the variable that we wish to predict or explain in a regression model.

A) True
B) False

Correct Answer

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In analyzing the relationship between two variables,a scatter plot can be used to detect which of the following?


A) A positive linear relationship
B) A curvilinear relationship
C) A negative linear relationship
D) All of the above

E) B) and C)
F) A) and D)

Correct Answer

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A positive population slope of 12 (β1 = 12)means that a 1-unit increase in x causes an average 12-unit increase in y.

A) True
B) False

Correct Answer

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