For this question, use the following multiple regression output (which may differ from the output in other questions, even though the variables are the same).

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.732
R Square	0.536
Adjusted R Square	0.511
Standard Error	4451.652
Observations	100
ANOVA
	df	SS	MS	F	Significance F
Regression	5	2148222488	429644497.6	21.680	2.246E-14
Residual	94	1862816975	19817201.86
Total	99	4011039463
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	528.896	2512.847	0.210	0.8338	-4460.421	5518.213
Annual Income ($1000)	139.220	15.531	8.964	2.936E-14	108.382	170.058
Household Size	821.824	232.404	3.536	0.0006	360.381	1283.266
Education	-1104.740	299.596	-3.687	0.0004	-1699.595	-509.885
TV Hours	20.638	27.201	0.759	0.4499	-33.371	74.646
Age	-8.312	45.476	-0.183	0.8554	-98.607	81.982

Find the predicted annual charges for a 44-year old customer with an annual income of $65 (thousand), a household size of 5, 2 years of post-high school education, 32 hours of watching television per week.

Group of answer choices

$10,755

$398

$27,964

$8,155

$11,773