he trucking example we discussed this week has a regression equation shown below. y^=0.1273+0.0672x1+0.6900x2

The following shows part of the regression output for the Trucking company example discussed in this week.

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	0.1273	0.205203	0.620541	0.535378	-0.2764999	0.531174204
Miles	0.0672	0.002455	27.36551	3.54E-83	0.06235038	0.072013099
Deliveries	0.6900	0.029521	23.37309	2.85E-69	0.63190133	0.748095234

What conclusion can you reach using the p-value 3.54E-83?

Group of answer choices

there is a linear relationship between miles and total time traveled

there is not a linear relationship between miles and total time traveled

there is a linear relationship between the number of deliveries and total time traveled

there is not a linear relationship between the number of deliveries and total time traveled