TAGSC-320-V84-Winter22: HV X * Homework Help - Q&LA from X X AGSC-320-V84-Winter22: HW9 mod/Iti/view.php?id=1971021 (MLR) moodle.latech.edu es 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: Estimate Std. Error t value P ( > |+1 ) (Intercept 13850 939.1 14.75 0.000 SHAFTS 111.3 63.6 .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 Select all of the predictor variables which would be included in constructing the next regression model in the iteration: EXHTEMP SHAFTS ORPM HW8 (OLS) Jump to... Yanai, I., Lercher, M. A hypothesis is a liability. Genome Biol 21, 231 (2020). https://doi.org/10.1186/s13059-020- 02133-W Type here to search 4:04 PM 22 2/15/2022