43. In regression analysis, the equation that describes how the response variable (y) is related to the explanatory variable (x) is: A. the correlation model. B. the regression model. C. used to predict y given a value of x. D. the coefficient of determination. 44. The relationship between the number of beers consumed and the blood alcohol content was studied in 16 male college students by using the least squares regression. The following regression equation was obtained from the study: y ?= -0.0127+0.0180x The above equation implies that: A. each beer consumed increases blood alcohol by 1.27%. B. on the average, it takes 1.8 beers to increase blood alcohol content by 1%. C. Each beer consumed increases blood alcohol by an average amount of 1.8%. D. Each beer consumed increases blood alcohol by exactly 0.018 units. 45. Regression analysis is a statistical framework for developing a mathematical equation that describes how A. one explanatory variable and one or more response variables are related. B. Several explanatory and several response variables are related. C. One response and one or more explanatory variables are related. D. All of the above.

For nos. 46 to 48: The paired data below consist of the costs of advertising (in thousands of dollars) and the number of products sold (in thousands).

Cost 9 2 3 4 2 5 9 10 Number 85 52 55 68 67 86 83 73