SUMMARY OUTPUT \begin{tabular}{|c|c|c|c|c|c|} \hline \multicolumn{2}{|c|}{ Regression Statistics } & & & & \\ \hline Multiple R & 0.81874 & & & & \\ \hline R Square & 0.670335 & & & & \\ \hline Adjusted R Square & 0.670238 & & & & \\ \hline Standard Error & 17420.38 & & & & \\ \hline Observations & 6806 & & & & \\ \hline \multicolumn{6}{|l|}{ ANOVA } \\ \hline & \( d f \) & \( \overline{S S} \) & \( M S \) & \( \bar{F} \) & Significance \\ \hline Regression & 2 & \( 4 \cdot 2 E+12 \) & \( 2.1 \mathrm{E}+12 \) & 6916.562 & 0 \\ \hline Residual & 6803 & \( 2.06 \mathrm{E}+12 \) & \( 3.03 E+08 \) & & \\ \hline Total & 6805 & \( 6.26 \mathrm{E}+12 \) & & & \\ \hline \end{tabular} \begin{tabular}{|c|c|c|c|c|c|c|c|c|} \hline & Coefficients & Standard Error & t Stat & P-value & Lower 95\% & Upper 95\% & Lower \( 95.0 \% \) & Upper \( 95.0 \% \) \\ \hline & 1171.728 & 215.3147 & 5.441934 & \( 5.45 \mathrm{E}-08 \) & 749.6441 & 1593.812 & 749.6441 & 1593.812 \\ \hline oanc & 12.21502 & 0.125743 & 97.14278 & 0 & 11.96852 & 12.46152 & 11.96852 & 12.46152 \\ \hline accura & 8.714083 & 0.188568 & 46.21188 & 0 & 8.344431 & 9.083736 & 8.344431 & 9.083736 \\ \hline \end{tabular}
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81874)**: This is the correlation coefficient which measures the strength of a linear relationship between the dependent variable and independent variables. - **R Square (0.670335)**: This indicates that approximately 67.03% of the variance in the dependent Show more…
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SUMMARY OUTPUT Regression Statistics Multiple R 1 R Square 1 Adjusted R Square 65535 Standard Error 0 Observations 4 ANOVA df SS MS F Significance F Regression 3 19235.23924 6411.74641 #NUM! #NUM! Residual 0 0 65535 Total 3 19235.23924 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept 1412.72036 0 65535 #NUM! 1412.72036 1412.72036 1412.72036 1412.72036 X Variable 1 -616.63372 0 65535 #NUM! -616.63372 -616.63372 -616.63372 -616.63372 X Variable 2 757.72152 0 65535 #NUM! 757.721529 757.721529 757.721529 757.721529 X Variable 3 -506.28783 0 65535 #NUM! -506.28783 -506.28783 -506.28783 -506.28783 RESIDUAL OUTPUT Observation Predicted Y Residuals Standard Residuals 1 1.653 -2.47358E-13 -0.6238259 2 3.677 3.20188E-13 0.80750171 3 167.6 5.40012E-13 1.36188915 4 19.39 1.27898E-13 0.32255269 PROBABILITY OUTPUT Percentile Y 12.5 1.653 37.5 3.677 62.5 19.39 87.5 167.6
Sri K.
SUMMARY OUTPUT Regression Statistics Multiple R 0.473932054 R Square 0.224611592 Adjusted R Square 0.218853757 Standard Error 14.85665558 Observations 408 ANOVA df SS MS F Significance F Regression 3 25830.70959 8610.236529 39.00973242 3.69997E-22 Residual 404 89170.96688 220.7202151 Total 407 115001.6765 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 385.4384477 338.9966744 1.136997725 0.25621316 -280.9792491 1051.856144 GDP Per Capita (Thousands) 0.28651666 0.046941033 6.103756974 2.4315E-09 0.194237479 0.37879584 Population (Millions) 0.041979674 0.00443387 9.467954334 2.42102E-19 0.033263338 0.050696011 Year -0.191084928 0.169402359 -1.127994491 0.259991678 -0.524105098 0.141935242 Table 1
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