#2 Points possible: 1. Total. attempts: 5 85-" Cooling Rates of Turbines: A multiple regression model was constructed to predict the cooling rate of a turbine given data on the number of drive shafts (SHAFTS), motor RPM's, cycle pressure ratio (CPRATIO), inlet temperature (INLETTEW), exhaust temperature (EEG-ITEM}, and airow (AIRFLOWJ. The regression output is below: __- Peltl) m Select all of the predictor variables which would be included in constructing the next regression model in the iteration