# SUMMARY OUTPUT RELATED ECONOMICS

 SUMMARY OUTPUT Regression Statistics Multiple R 0.907055755 R Square ??????? Adjusted R Square ??????? Standard Error ??????? Observations 16 ANOVA df SS MS F Significance F Regression ??????? 18283048.17 3656610 ????? 0.001615349 Residual ??????? 3938823.58 393882.4 Total ??????? ??????? Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept ??????? 2507.724058 2.377716 0.038763 375.0981311 11550.21289 X2 4.883662697 ??????? 1.943714 0.080584 ??????? 10.48195531 X3 2.363956211 0.843558632 ??????? 0.018719 0.484390458 ??????? X4 ??????? 187.7072286 -4.36386 0.001413 -1237.366467 -400.8909333 X5 12.01048233 ??????? 0.081676 0.936516 -315.6365271 ??????? X 6 -851.3926955 292.1447153 ??????? 0.015451 ??????? -200.4537078

Questions:

1. Fill in the blanks.
2. Interpret the Coefficients and intercept. What do you mean by statistically significant? What are the statistical significant variables in the model?
3. What do you mean by R square and adjusted R square? Interpret them in this model.