Hi, can someone help me with this please.

The accompanying Minitab regression output is based on data that appeared in the article "Application of Design of Experiments for Modeling Surface Roughness in Ultrasonic Vibration Turning.\" The response variable is surface roughness (urn), and the independent variables are vibration amplitude (urn), depth of cut (rnrn), feed rate (mm/rev), and cutting speed (m/min), respectively. The regression equation is Ra : 70.972 7 0.03123 + 0.557d + 18.3f + 0.00282V Predictor Coef SE Coef T P Constant 70.9723 0.3923 72.48 0.015 a 70.03117 0.01864 71.67 0.099 d 0.5568 0.3185 1.75 0.084 f 18.2602 0.7536 24.23 0.000 V 0.002822 0.003977 0.71 0.480 s : 0.822059 R7Sq : 88.6% R7Sq(adj) : 88.0% Source DS SS MS F P Regression 4 401.02 100.25 148.35 0.000 Residual Error 76 51.36 0.68 Total 80 452.38 At signicance level 0.10, can any single one of the predictors be eliminated from the model provided that all of the other predictors are retained? (Select all that apply.) I: vibration amplitude D depth of cut I: feed rate I: cutting speed Cl surface roughness