Excel output from the model to predict satisfaction appears below. Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 122.179 159.242 0.767 0.454 -215.399 459.757 Price 2.213 1.109 1.996 0.063 -0.137 4.564 Range -0.035 0.338 -0.105 0.918 -0.753 0.682 FuelEconomy 1.295 0.718 1.803 0.090 -0.228 2.819 USNews 46.276 17.347 2.668 0.017 9.502 83.051 What is the interpretation of the coefficient on price? Question 11 options: For a 1 point increase in satisfaction, price increases by $2.213, on average and all else constant. For a $1000 increase in price, satisfaction increases by 2.213 points, on average and all else constant. Increasing price by $1 will cause owner satisfaction to increase by 0.02213 points. For a $1 increase in price, satisfaction increases by 2.213 points, on average and all else constant