Question

sing Coding Work MyLab Programmi... ? Student Resource... Insurance business Using the output below, which of the answer choices below is the correct estimated regression equation that can be used to predict the delivery time for a certain product given miles driven and number of pit-stops. SUMMARY OUTPUT Regression Statistics Multiple R 0.9509 0.9043 R Square Adjusted R Square 0.8769 Standard Error 0.5717 Observations 10 Standard Error p-Value Coefficients 0.0106 0.0541 0.8522 Intercept Miles Driven 0.9904 0.0087 0.000444 0.010829 Number of Pit-Stops 0.7763 0.2256 Number of Pit Stops -0.0106 +0.0541"Miles Driven) +0.7763"Delivery Time) Miles Driven -0.0106 +0.0541"Delivery Time) +0.7763"[Number of Pit-Stops) Delivery Time -0.0106 +0.77630 Miles Driver) +,0541"Number of Pit-Stops) Delivery Time -0.01060 0541' Miles Driven +0.7763'(Number of Pit-Stops)

Answer 1

The multiple linear regression equation is given by

y = b0+b1x1+b2x2+..+bnxn

where ,

y is response variable

x1,x2,..,xn are predictor variables

bo,b1,b2..,bn are coefficients

Here y is Delivery time for certain product

x1 is Miles driven

x2 is number of pit-stops

From regression table,

b0 is coefficient of constant = 0.0106

b1 is coefficient of miles driven = 0.0541

b2 is coefficient of number of pit stops =0.7763

The regression equation is

delivery time = 0.0106 + 0.0541*miles driven + 0.7763*Number of pit-stops

Answer:-

delivery time = 0.0106 + 0.0541*(miles driven) + 0.7763*(Number of pit-stops)