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Title: A regression analysis between sales (in 1000) and advertising (in 100) resulted in the following ... Post by: suncs on Mar 3, 2018 A regression analysis between sales (in 1000) and advertising (in 100) resulted in the following least squares line: y = 75 +6x. This implies that if advertising is 800, then the predicted amount of sales (in dollars) is:
a. 4875 b. 123,000 c. 487,500 d. 12,300 e. 79,800 Q. 2 A regression analysis between weight (y in pounds) and height (x in inches) resulted in the following least squares line: y = 120 + 5x. This implies that if the height is increased by 1 inch, the weight, on average, is expected to: a. increase by 1 pound b. decrease by 1 pound c. increase by 5 pounds d. increase by 24 pounds e. increase by 125 pounds Q. 3 Given the least squares regression line y = 5 - 2x: a. the relationship between x and y is positive b. the relationship between x and y is negative c. as x increases, so does y d. as x decreases, so does y e. y is the square of x Q. 4 If an estimated regression line has a y-intercept of 10 and a slope of 4, then when x = 2 the actual value of y is: a. 18 b. 15 c. 14 d. unknown e. 2 Q. 5 Which of the following statements is true? a. In a simple linear regression model, if the regression slope coefficient is negative, then the standard error of the estimate will be positive. b. In a simple linear regression model, the regression slope coefficient will have the same sign as the correlation coefficient. c. If two variables are determined to be correlated, there is no reason to believe that the regression model involving the same two variables will be statistically significant. d. All of these. Q. 6 In a simple linear regression analysis, the standard error of the slope is: a. a measure of the amount of change in the dependent variable y for a one unit change in the independent variable x b. a measure of the variation in the regression slope from sample to sample c. the square root of the standard error of the estimate d. the square of the standard error of the estimate e. all of these Q. 7 In a simple linear regression analysis, if SSE = 27, Total SS = 63, then the percentage of the variation in the dependent variable y that is explained by the independent variable x is about: a. 43 b. 27 c. 63 d. 57 e. 36 Title: A regression analysis between sales (in 1000) and advertising (in 100) resulted in the following ... Post by: Keja12 on Mar 3, 2018 B C B D D B D Title: A regression analysis between sales (in 1000) and advertising (in 100) resulted in the following ... Post by: suncs on Mar 3, 2018 Nice!
Title: A regression analysis between sales (in 1000) and advertising (in 100) resulted in the following ... Post by: Keja12 on Mar 3, 2018 :-]
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