Macmillan Learning Suppose the manager of a gas station monitors how many bags of ice he sells daily along with recording the highest temperature each day during the summer The data are plotted with temperature in degrees Fahrenheit F as the explanatory variable and the number of ice bags sold that day as the response variable The least squares regression LSR line for the data is Y 151 05 2 65X On one of the observed days the temperature was 82 F and 68 bags of ice were sold Determine the number of bags of ice predicted to be sold by the LSR line when the temperature is 82 F Enter your answer as a whole number rounding if necessary Y Using the predicted value you just f lund compute the residual at this temperature residual ice bags ice bags