Quiz 6-Module 4

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Jun 22, 2024

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1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 1/6 Dashboard / My courses / ECON_2331_J01_201725 / Sections / Module 4 / Quiz 6, Module 4 Question 1 Complete Mark 1.00 out of 1.00 Question 2 Complete Mark 1.00 out of 1.00 Started on Thursday, 9 January 2020, 9:27 PM State Finished Completed on Thursday, 9 January 2020, 9:45 PM Time taken 17 mins 59 secs Grade 12.00 out of 14.00 ( 86 %) Exhibit 14-7 You are given the following information about y and x: y Dependent Variable x Independent Variable 5 4 7 6 9 2 11 4 Refer to Exhibit 14-7. The least squares estimate of b1 (slope) equals: Select one: a. -10 b. 10 c. 0.5 d. -0.5 Exhibit 14-7 You are given the following information about y and x: y Dependent Variable x Independent Variable 5 4 7 6 9 2 11 4 Refer to Exhibit 14-7. The least squares estimate of b0 (intercept) equals: Select one: a. -10 b. 10 c. 0.5 d. -0.5
1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 2/6 Question 3 Complete Mark 1.00 out of 1.00 Question 4 Complete Mark 1.00 out of 1.00 Question 5 Complete Mark 1.00 out of 1.00 Exhibit 14-7 You are given the following information about y and x: y Dependent Variable x Independent Variable 5 4 7 6 9 2 11 4 Refer to Exhibit 14-7. The sample correlation coefficient equals: Select one: a. 0.3162 b. -0.3162 c. 0.10 d. -0.10 Exhibit 14-7 You are given the following information about y and x: y Dependent Variable x Independent Variable 5 4 7 6 9 2 11 4 Refer to Exhibit 14-7. The coefficient of determination equals: Select one: a. 0.3162 b. -0.3162 c. 0.10 d. -0.10 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The total sum of squares (SST) is: Select one: a. -156 b. 234 c. 1870 d. 1974 2 2
1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 3/6 Question 6 Complete Mark 1.00 out of 1.00 Question 7 Complete Mark 1.00 out of 1.00 Question 8 Complete Mark 1.00 out of 1.00 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The sum of squares due to error (SSE) is: Select one: a. -156 b. 234 c. 1870 d. 1974 2 2 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The mean square error (MSE) is: Select one: a. 1870 b. 13 c. 1974 d. 935 2 2 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The slope of the regression equation is: Select one: a. -0.667 b. 0.667 c. 100 d. -100 2 2
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1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 4/6 Question 9 Complete Mark 1.00 out of 1.00 Question 10 Complete Mark 0.00 out of 1.00 Question 11 Complete Mark 0.00 out of 1.00 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The Y intercept is: Select one: a. -0.667 b. 0.667 c. 100 d. -100 2 2 Exhibit 14-8 Refer to Exhibit 14-8. You are given the following information regarding a dependent variable Y and an independent variable X: S X = 90 S ( Y - )(X - ) = -156 S Y = 340 S (X - ) = 234 n = 4 S ( Y - ) = 1974 SSR = 104 The coefficient of correlation is: Select one: a. -0.2295 b. 0.2295 c. 0.0527 d. -0.0572 2 2 A simple linear regression problem produced the following sums of squares: = 240, = 60, = = 180 What percentage of the variation in y is not explained by the regression line? Select one: a. 25% b. 75% c. 0.33 d. 0.67
1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 5/6 Question 12 Complete Mark 1.00 out of 1.00 Question 13 Complete Mark 1.00 out of 1.00 The following table shows the selling prices and mileages for 7 used cars of a certain model: Mileage Price 22,600 $15,200 32,100 $12,500 43,800 $13,900 51,800 $9500 59,400 $11,600 65,500 $11,700 74,700 $8900 When price is the dependent and mileage is the independent variable, the use of Excel or Minitab results in which of the following least-squares regression lines? Select one: a. y-hat = 0.0965-16722x and when x=55,000, the estimated price is $11,416. b. y-hat = 16722 -0.0965x and when x=11,416, the estimated price is $55,000. c. y-hat = 16722 -0.0965x and when x=55,000, the estimated price is $11,416. d. None of the answers is correct. Using the following data, a 99% confidence interval for the average price with mileage of 43,000 is: Mileage Price 22,600 $15,200 32,100 $12,500 43,800 $13,900 51,800 $9500 59,400 $11,600 65,500 $11,700 74,700 $8900 Select one: a. Between $11,013.9 and $14,133.8 b. Between $8,446.31, and $16,701.4 c. Between $8,446.31, and 14,133.8 d. Between $10,126.9 and 15,020.8
1/12/2020 Quiz 6, Module 4 https://moodle.tru.ca/mod/quiz/review.php?attempt=634012&cmid=322891 6/6 Question 14 Complete Mark 1.00 out of 1.00 Using the following data, a 99% prediction interval for an individual price with the mileage of 43,000 is: Mileage Price 22,600 $15,200 32,100 $12,500 43,800 $13,900 51,800 $9500 59,400 $11,600 65,500 $11,700 74,700 $8900 Select one: a. Between $11,013.9 and $14,133.8 b. Between $6,099.49, and $19,048.2 c. Between $8,446.31, and 14,133.8 d. Between $8,446.31, and $16,701.4 Quiz 5, Module 4 Jump to... Slideshow 4-1 Module 4
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