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Math · Statistics And Probability
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I only Need QUESTION 3)!!!b) The following regression output (Stata and EXCEL) show the results from a regression of life expectancy at birth (lexp) on gross national product (gnppc), both measured at the country level. Life expectancy is measured in years (varies between 54 and 79), whereas GNP per capita is measured in dollars (varies between 370 and 39,980). Interpret the output in the following way: i. Write down the estimated regression equation (1P) ii. Calculate the predicted life expectancy for a GNP per capita of 20,000 dollars (2P). iii. State what the output tells you about the direction, strength and significance of thee relationship between both variables. Use the coefficient bı, R2, the correlation coefficient r as well as t/p-value and the confidence interval to substantiate your interpretation (11P) Source df MS 63 64.98 -0.0000 0.5158 Adj R-quared0.5079 - 3.3596 Number of obs F(1, 61) 1 733.446453 Prob > F Model Residual 733.446453 688.490055 61 11.2867222 R-squared Total1421.93651 62 22.9344598 Root MSE lexp Coef.Std. Err (95% Conf. Interval] 8.06 0.000 69.448365479821 126.730.000 0002432 68.35261 0003234 0000401 nppc cons 0004036 0.54412 SUMMARY OUTPUT Statistics ANOVA 0,71820 0,51581 Multiple R Square Adjusted R Square Standard Error Observations MS Regression 1 733,44645 733,44645 64,983 0,00000 0,50787 3,35957 63 Residual 61 688,49005 11,286722 62 1421,9365 Total Standard Lower 95% Coefficients 69,44836 0,00032 Error 0,54798 126,73472 0,00000 68,35261 70,54412 0,00004 8,06121 0,00000 0,00024 0,00040 t Stat P-value 95% Intercept

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