Cooling Rates of Turbines: A multiple regression model was constructed to predic

Question

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:

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

Estimate Std. Error t value P(>|t|) (Intercept) 13850 939.1 14.75 0.000 SHAFTS -111.3 163.6 -.68 0.49871 RPM .0913 .0144 6.32 0.000 CPRATIO 8.527 32.02 .27 .79094 INLETTEMP -9.293 1.512 -6.15 0.000 EXHTEMP 14.15 3.495 4.05 0.000 AIRFLOW -.8615 .445 -1.94

0.057

Explanation / Answer

hre from given output ; p value for RPM ; INLETTEMP and EXHTEMP are signifcant; hence predictor variables which would be included in constructing the NEXT regression model in the iteration are:

EXHTEMP

INLETTEMP

RPM

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