A sociologist examines the relationship between the poverty rate and several socioeconomic factors. For the 50 states and the District of Columbia (n = 51) , he collects data on the poverty rate (y, in %) , the percent of the population with at least a high school education (x1) , median income (x2, in $1000s) , and the mortality rate per 1,000 residents (x3) . He estimates the following model as y = β0 + β1Education + β2Income + β3Mortality + ε. The following ANOVA table shows a portion of the regression results.
The coefficient of determination indicates that ________.
A) 14% of the variation in the poverty rate is explained by the regression model.
B) 14% of the variation in median incomes is explained by the sample regression equation.
C) 86% of the variation in the poverty rate is explained by the sample regression equation.
D) 86% of the variation in median incomes is explained by the sample regression equation.
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