Question

The CEO of a well-known car seller company wants to determine the factors having an influence on the percentage amount of car sales. The table below shows the result of a regression after setting a model with variables available.

The model includes the variable CONVERTIBLE which equals 1 if the car is convertible, zero otherwise.

The regression equation when the car is not convertible is........

Coefficientsa
Model		Unstandardized Coefficients		Standardized Coefficients	t	Sig.
		B	Std. Error	Beta
1	(Constant)	-2.210	1.930		-1.145	.285
	Dependability	.550	.272	.384	2.024	.078
	Interiorcomfort	.252	.180	.270	1.399	.199
	Acceleration	.448	.233	.429	1.921	.091
	Convertible	-.100	.204	-.187	-1.179	.272
a. Dependent Variable: Sales

A- yhat = -2.31 + 0.55X1 +0.252X2 +0.448X3

B -yhat = -2.21 + 0.55X1 +0.252X2 +0.448X3

C- yhat = -2.31 + 0.55X1 +0.252X2 +0.448X3 - 0.1X4

D- Yhat = -2.21 + 0.55X1 + 0.252X2 + 0.448X3 -0.1X4

Answer 1

Regression equation when the car is not convertible i.e. convertible = 0 will be:

yhat = -2.21 + 0.55X1 +0.252X2 +0.448X3

Option B is correct.