Question: What are the problems with this model based on post-regression analysis? Are there issues with heteroskedasticity, non-normal distribution, and non-linear relationship? Are there any missing

What are the problems with this model based on post-regression analysis? Are there issues with heteroskedasticity, non-normal distribution, and non-linear relationship? Are there any missing variables?

What are the problems with this model based on post-regression analysis? Arethere issues with heteroskedasticity, non-normal distribution, and non-linear relationship? Are there anymissing variables? Residuals vs Fitted O 9060 0 0 0 O OO O O O O Residuals O O O O OO O

Residuals vs Fitted O 9060 0 0 0 O O O O O O O Residuals O O O O OO O -30 -20 -10 O O 0182 025 600 55 60 65 70 75 80 85 Fitted values Im(lifeExpF ~ log(ppgdpNormal Q-Q Standardized residuals 2 -1 0 oo 258 060 -3 -2 -1 O 2 3 Theoretical Quantiles Im(lifeExpF ~ log(ppgdp\fResiduals vs Leverage O O O O O O O 0 00 Standardized residuals -4 -3 -2 -1 0 1 2 O O O 1860 25 - Cook distance 0.000 0.005 0.010 0.015 0.020 0.025 0.030 0.035 Leverage Im(lifeExpF ~ log(ppgdp

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