Mathematics, 15.07.2020 01:01 naeaamm6981

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 (INLETTEMP), exhaust temperature (EXHTEMP), and airflow (AIRFLOW). The regression output is below: EstimateStd. Errort valueP(>|t|)
(Intercept)13850939.114.750.000
SHAFTS-111.3163.6-.680.49871
RPM.0913.01446.320.000
CPRATIO8.52732.02.27.79094
INLETTEMP-9.2931.512-6.150.000
EXHTEMP14.153.4954.050.000
AIRFLOW-.8615.445-1.94
0.057

Select ALL of the predictor variables which would be included in constructing the NEXT regression model in the iteration:

EXHTEMP

INLETTEMP

SHAFTS

RPM

AIRFLOW

CPRATIO

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Cooling Rates of Turbines: A multiple regression model was constructed to predict the cooling rate o...