The ScamMore Energy Company Is Attempting to Predict Natural Gas

Multiple Choice

The ScamMore Energy Company is attempting to predict natural gas consumption for the month of January. A random sample of 50 homes was used to fit a regression of gas usage (in CCF) using as predictors Temperature = the thermostat setting (degrees Fahrenheit) and Occupants = the number of household occupants. They obtained the following results: $$\begin{array} { l c c } \text { Variable } & \text { Coefficient } & \text { Std Err } \\\text { Intercept } & 21.684 & 4.122 \\\text { Temperature } & 0.9142 & 0.2918 \\\text { Occupants } & 2.244 & 1.315\end{array}$$ In testing each coefficient for a significant difference from zero (two-tailed test at ? = .10) , which is the most reasonable conclusion about the predictors?

A) Temperature is highly significant; Occupants is barely significant.
B) Temperature is not significant; Occupants is significant.
C) Temperature is less significant than Occupants.
D) Temperature is significant; Occupants is not significant.