Question 1 1. What is the linear regression equation for the old process? Round the intercept to one decimal place and the slope to three decimal places. a. y= 29.3 x + .514 b. y =293 .514x c. y = 29.3 + .514x d. y = 29.3% + 51.4%X 2 points Question 2 1. What is the linear regression equation for the new process? Round the intercept to one decimal and the slope to three decimal places. a. Y= 29.9% 0.612%X b. Y = 29.9- 0.612X c. Y= -.61 +29.9X d. Y= -61.2+ 29.9X 2 points Question 3 1. Interpret what the slope given the linear equation predicted y = 29.3 +0.514x in this equation means? a. For every increase of one in the independent variable x there is an increase of 0.514 in predicted y. b. For every increase of one in the independent variable x there is a decrease of 0.514 in predicted x c. For every increase of one in the dependent variable x there is an increase of 0.514 in predicted y. d. For every increase of one in the independent variable x there is a decrease of 0.514 in predicted y. 2 points Question 4 a. For every increase of one in the independent variable x there is an increase of 0.612 in predicted x. b. For every increase of one in the independent variable x there is a decrease of 0.612 in predicted x c. For every increase of one in the independent variable x there is an increase of 0.612 in predicted y. d. For every increase of one in the independent variable x there is a decrease of 0.612 in predicted y. 2 points Question 5 Given: y = 29.3 + 0.514x a. The interpretation of the y-intercept is the value for predicted y given the absence of explanatory variable x. b. The interpretation of the y-intercept is the value for y given the absence of response variable y. c. The interpretation of the y-intercept is the value for x given the absence of explanatory variable y. d. The interpretation of the y-intercept is the value for predicted y given the absence of response variable x. 2 points Question 6 1. What is the interpretation of predicted y given the absence of explanatory variable x given the equation? y = 29.9- 0.612X a. The interpretation of the y-intercept is the value for predicted y given the absence of explanatory variable x. In this case, predicted y is 29.9 given the absence of x. b. The interpretation of the y-intercept is the value for predicted y given the absence of response variable x. In this case, predicted y is 29.9 given the absence of x. c. The interpretation of the y-intercept is the value for predicted x given the absence of explanatory variable x. In this case, predicted y is 29.9 given the absence of x. d. The interpretation of the y-intercept is the value for predicted y given the absence of explanatory variable x. In this case, predicted y is 29.9 given the absence of y. 2 points Question 7 a. No Change b. Increase c. Decrease d. Unable to determine 2 points Question 8 a. r= 0.481 b. R^2 = 0.481 c. r = -0.481 d. r = 48.1% 2 points Question 9 a. r ( squared) = 0.601 b. r = -0.601 c. r = 0.601 d. r^2 = 0.60 2 points Question 10 1. What is the value of the coefficient of determination for the old process? a. R2=0.231 b. r^2= 0.231 c. R = 23.1 d. r= 23.1% 2 points Question 11 1. What is the value of the coefficient of determination for the NEW process? a. R2 = 0.361 b. r2 = 0.361 c. r = 361 d. R=36% 2 points Question 12 1. Interpret the coefficient of determination for the old process. Round your answer to one decimal. a. 23.1% of the variability present in predicted y can be explained by variability present in the model. b. 23.1% of the variability present in predicted y can be explained by variability present y. c. We do not have enough data to interpret this model. d. 23.1% of the variability present in the model can be explained by variability present in y 2 points Question 13 1. Interpret the coefficient of determination in the new process. Round your answer to one decimal. a. 36.1% of the variability present in predicted y can be explained by variability present in the model. b. 36.1% of the variability present in predicted x can be explained by variability present in the response variable. c. 36.0 is the variability present in x and can be explained by variability present in the model. d. No conclusion can be drawn as we do not have enough information. 3 points Question 14 a. The new process reduces the claim time by 7 days. It reduces the elapsed time from 33 days to 26 days. As a result, the new process reduces claim process time and eliminates work load accumulations b. The new process has a negative effect on improving policy holder satisfaction. The new process improves the average elapsed time from 32.7 days to 25.9 days . c. The new process has a positive effect on improving policy holder satisfaction. The new process remains the same the average elapsed time from 32.7 days to 25.9 days. d. The new process has a neutral effect on improving policy holder satisfaction. The new process improves the average elapsed time from 32.7 days to 25.9 days.
