Question: 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
-1.png)
Predicted Values
-2.png)
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?
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
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