91影视

The table represents the predictor variables, P-value, \({R^2}\), Adjusted-\({R^2}\) and the regression equations.

The p-value determines the significance of the variable in regression analysis. The R-squared measure is the coefficient of determination measure, which measures the sum of squares explained by the regression line.The R-squared adjusted measures the accuracy while considering the count of independent variables in the model. A good-fit model gives a better prediction.

The optimum level of each measure defines the best predictor in the regression model.

From the provided three models with one predictor variable, the model with predictor HWY (highway fuel consumption) has the:

• smallest P-value is 0.000
• highest measures of both\({R^2}\)and adjusted\({R^2}\)value which is 0.924 and 0.920 respectively.

This implies that HWY is the best predictor of the city鈥檚 fuel consumption variable.