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Could you please tell me what the values of R square, F, t are saying? And what

ID: 3232196 • Letter: C

Question

Could you please tell me what the values of R square, F, t are saying? And what are the residuals saying?

SUMMARY OUTPUT Regression Statistics Multiple R 0.627867439 R Square 0.394217521 Adjusted R Square 0.381597053 Standard Error 1.110006128 Observations 50 ANOVA df SS MS F Significance F Regression 1 38.48674698 38.48674698 31.23636233 1.05756E-06 Residual 48 59.14145302 1.232113605 Total 49 97.6282 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 4.390689714 0.875760837 5.013571663 7.69737E-06 2.629854537 6.151524892 2.629854537 6.151524892 ADULTS WITH DIABETES - PHYSICAL INACTIVITY X2 0.146817193 0.02626919 5.58895002 1.05756E-06 0.093999445 0.19963494 0.093999445 0.19963494 Regression equation =4.3907 + 0.1468Physical Inactivity RESIDUAL OUTPUT Observation Predicted ADULTS WITH DIABETES -    Y Residuals 1 9.89633444 1.90366556 2 7.870257181 -0.270257181 3 8.986067845 0.113932155 4 12.377545 -0.877544996 5 8.530934548 1.369065452 6 9.353110827 -2.453110827 7 8.839250653 -0.839250653 8 9.969743036 -0.269743036 9 9.49992802 -0.09992802 10 8.69243346 2.30756654 11 8.340072198 0.559927802 12 7.69407655 -0.69407655 13 10.99746339 -1.597463385 14 9.969743036 -0.269743036 15 7.576622796 0.723377204 16 9.411837704 0.088162296 17 10.05783335 1.242166648 18 9.69079037 0.70920963 19 9.191611915 -1.391611915 20 9.529291458 -0.329291458 21 8.927340968 -0.127340968 22 8.648388302 0.351611698 23 8.795205495 -1.295205495 24 9.969743036 1.930256964 25 8.751160337 1.248839663 26 9.147566757 -1.547566757 27 8.956704407 -0.556704407 28 8.648388302 0.151611698 29 8.29602704 -0.49602704 30 9.059476442 -0.459476442 31 8.633706583 1.766293417 32 9.646745212 -0.446745212 33 9.220975354 0.579024646 34 7.738121708 0.261878292 35 9.353110827 0.946889173 36 10.17528711 0.724712894 37 8.149209847 -0.149209847 38 9.411837704 0.188162296 39 8.105164689 0.194835311 40 9.837607563 0.862392437 41 8.736478618 -0.536478618 42 9.955061317 1.744938683 43 10.74787416 0.052125842 44 8.604343144 -0.904343144 45 9.250338792 -2.350338792 46 9.411837704 -0.411837704 47 9.015431284 -0.815431284 48 10.36614946 1.633850543 49 8.986067845 -0.986067845 50 9.279702231 -1.479702231

Explanation / Answer

Could you please tell me what the values of R square, F, t are saying? And what are the residuals saying?

Ans: R square is the proportion of variation explained by the explanatory variables to the total variation of the regression model.

F is the test statistic for whole explanatory variable in the regression model whereas t is the test statistic for the individual explanatory variable in the model.

And what are the residuals saying?

Residual can explain the nature of the model. Using residual characteristic we can explain that model is reasonable or not.