In 1990, the United Nations created a single statistic, the Human Development Index or HDI, to summarize the health, education, and economic status of countries.
Using data from 96 countries, here is a multiple regression model trying to predict HDI.
Dependent variable is: HDI
R squared = 98.23%
s = 0.024 with 96 - 8 = 88 df

Predicted Values

a) Write the regression model.
b) Are the assumptions and conditions met?
c) State and test the standard null hypothesis for the coefficient of Expected Years of Schooling. Use the standard-level of α = 0.05 and state your conclusion.
d) What effects do your observation in response to part b have on your test in part c?

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Term Intercept Expected years Estimate Std Error t-Ratio P-value 0.09010 0.04208 2.14 0.0351 of schooling (yrs) 0.01376 D.00176 7.79 <0.0001 Life expectancy at birth (years) 0.00333 0.00063 5.32 <0.0001 Maternal mortality ratio (deaths per 100000 live births)-0.000120 0.00002544.74 0.0001 Mean years of schooling of adults (years) 0.01686 0.00166 10.19 <0.0001 Population urban (%) 0.000745 0.000181 4.13 <0.0001 GDP Per Capita 0.0000008020.000000263 3.05 0.003 Cel1 phones/ 100 people 0.000460 0.000141 3.26 .0016 0.06 0.02 0.02 -0.06 0.3 04 0.5 0.6 0.7 0.8 0.9 0.06 S 0.02 -002 0.06 -2 1 0 2 Nscores 35 30 25 g 20 10 0.05 0.00 Residuals -0.05