A multiple regression model was constructed to predict the c
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 (INLETTEMP), exhaust temperature (EXHTEMP), and airflow (AIRFLOW). The regression output is below: Select all of the predictor variables which would be included in constructing the next regression model in the iteration:
Solution
Shafts
CP Ratio
INLETTEMP
EXHTEMP
