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Regression Statistics Multiple R 0.6500437 R Square 0.4225568 Adjusted R Square 0.3546223 Standard Error 2.4476639 Observations 20 ANOVA df SS MS F Significance F Regression 2 74.52950581 37.264753 6.2200616 0.0093935 Residual 17 101,8479942 5.9910585 Total 19 176.3775 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 72.066886 1.52445387 47.273904 1.754E-19 68.850569 75.283202 hithpc 0.0019463 0.0008187 2.377329 0.0294444 0.000219 0.0036736 gappc -3.173E-05 6.66784E-05 -0.4758865 0.6402133 -0.0001724 0.0001089 iv) Evaluate the following statements: [3 marks] The second model is a better model overall The intercept in the new model is statistically significant at 5% significance level. The inclusion of gappc adds value to the model since the p-value is very high