Answer True or False for the following statements. Justify your answer if False. a. If the least-squares equation relating the independent variable x and the dependent variable y for a given problem is y = 2x+5, then an increase of 1 unit in a: is associated with an increase of 2 units in y. b. The coefficient of determination R2 measures the variation in the dependent variable that is explained by the regression model. c. If your computed correlation coefficient is r = +1.2, then you have better than a perfect positive correlation. d. A student might expect that there is a positive correlation between the age of his or her computer and its resale value. e. In simple regression analysis, if the slope of the line is positive, then there is a positive correlation between the dependent variable y and the independent variable x. f. The coefficient of determination can assume negative values. A negative correlation indicates that as values of x are increased, values of y will decrease. If there is no correlation between the independent and dependent variables, then the value of the correlation coefcient must be 1. PW!\