4.3 Using simple linear regression analysis, the equation for a line through the data is estimated to be =1.9+ 0.55x. For each of the x values, calculate the observed y the predicted y, and the residual. For the following four regression equations, explain what the slope and intercept mean. a. wage=2.05 + 1.32education, where wage is dollars earned per hour and educa- tion is number of years the person went to school. b. GPA = 1.14+0.23hours study, where GPA is measured in points and hours study is the number of hours spent studying in a week. c. sleep = 10.33 0.44work, where sleep is hours spent sleeping per night and work is the number of hours worked per day. d. savings 10 586 +0.15salary, where savings is dollars saved in the bank and the salary is the number of dollars earned in a year.