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	0.507
R Square	0.257
Adjusted R Square	0.217
Standard Error	5319.659
Observations	100
ANOVA
	df	SS	MS	F	Significance F
Regression	5	918149733.6	183629946.7	6.489	3.175E-05
Residual	94	2660085040	28298777.02
Total	99	3578234773
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	9714.244	3289.053	2.954	0.0040	3183.751	16244.736
Annual Income ($1000)	87.421	18.063	4.840	5.082E-06	51.557	123.284
Household Size	-145.809	270.677	-0.539	0.5914	-683.244	391.627
Education	-676.427	335.456	-2.016	0.0466	-1342.483	-10.371
TV Hours	42.242	31.228	1.353	0.1794	-19.762	104.247
Age	-72.153	52.101	-1.385	0.1694	-175.601	31.295

Develop the estimated regression equation relating all of the independent variables included in the data to annual charges. If required, round your answer to three decimal places. For subtractive or negative numbers use a minus sign even if there is a + sign before the blank. (Example: -300)

Estimated Amount Charged = + *Annual Income ($1000s)+ *Household Size+ *Education+ *TV+ *Age