Referencing Figure 2 Excel output : Using stepwise regression analysis what vari

Question

Referencing Figure 2 Excel output:
Using stepwise regression analysis what variable would you omit first before running the regression for a second time?

Select one:

a. power

b. weight

c. height

d. speed

Summary Output Regression Statistics Multiple R R Square AdjustedR Square Standard Error 6.2492 Observations 0.95000 0.90250 0.82101 12 ANOVA nificance df SS MS Regression4 1768.3366 442.0841 20.0101 Residual Total 7195.2634 39.0527 11 1963.6000 tStat P-value er Coefficients Standard Intercept 48.3628 14.1772 3.4113 0.0190 11.9192 7521908 0.0300 -46.4595 Height-12.4787 7.3110-1.7068 0.1000 -31.2723 8.8810 -0.4756 0.6544-27.0534 0.2849 0.3917 0.7272 0.4997 -0.7221 Weight 21.3770 9.75 Power Speed 4.2240

Explanation / Answer

Note: From p-value for a given variables we decide whether that variable is significant to the model or not. Which variable has lowest p-value that variable is sognificant variable. In multiple regression model if any variable has highest p-value from other that variable we omit and agian fit the model.

In above output, power variable has highest p-value i.e 0.6544 thsn other variable.

Therefore we omit Power variable first before running the regression for a second time.

Answer: a) Power

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