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 = ₀ + ₁ Education + ₂ Income + ₃ Mortality + . The following ANOVA table shows a portion of the regression results.

	df	SS	MS	F
Regression	3	415.4	138.47	98.9
Residual	47	65.9	1.4
Total	50	481.3
	Coefficients	Standard Error	t-stat	p-value
Intercept	58.4	5.8	10.07	1.65E-16
Education	0.59	0.03	19.67	5.45E-10
Income	0.4	0.01	40	6.02E-10
Morality	0.15	0.11	1.36	0.6438

What is the predicted poverty rate for a state where 45% of the population has at least a high school education, the median income is $39,000, and the mortality rate is 10 per 1,000 residents?

Multiple Choice

• 15.85%

• 17.75%

• 19.85%

• 21.95%