SUMMARY OUTPUT
Regression Statistics
Multiple R	0.903092
R Square	0.815576
Adjusted R Square	0.786068
Standard Error	15631.84
Observations	30
ANOVA
	df	SS	MS	F	Significance F
Regression	4	27015107558	6.75E+09	27.63927659	7.44276E-09
Residual	25	6108858229	2.44E+08
Total	29	33123965787
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	131614.4	74055.78904	1.777234	0.087699772	-20906.30814	284135.197	-20906.30814	284135.197
Price (P)	-16713	4282.784148	-3.90236	0.000636387	-25533.52134	-7892.40321	-25533.52134	-7892.40321
Competitor Price (Px)	16940.4	3630.194899	4.666525	8.8436E-05	9463.869461	24416.92216	9463.869461	24416.92216
Advertising (Ad)	0.170821	0.096340319	1.7731	0.088397565	-0.02759561	0.369237591	-0.02759561	0.369237591
Income (I)	8.582485	1.063625112	8.069088	2.00808E-08	6.39190793	10.77306178	6.39190793	10.77306178

I have an additional question on my homework. Based on the elasticity elements (own price, cross price, income and advertising) what will the impact of a price change by the company on total revenue of SF Bread be if I assume other variables remain constant?

	San Francisco Bread Company
Market	Demand (Q)	Price (P)	Competitor Price (Px)	Advertising (Ad)	Income (I)
1	596,611	7.62	6.54	200,259	49,000
2	596,453	7.29	5.01	204,559	51,755
3	599,201	6.66	5.96	206,647	52,955
4	572,258	8.01	5.30	207,025	54,391
5	558,142	7.53	6.16	207,422	48,491
6	627,973	6.51	7.56	216,224	51,219
7	593,024	6.20	7.15	217,954	48,685
8	565,004	7.28	6.97	220,139	47,219
9	596,254	5.95	5.52	220,215	49,775
10	652,880	6.42	6.27	220,728	54,932
11	596,784	5.94	5.66	226,603	48,092
12	657,468	6.47	7.68	228,620	54,929
13	519,866	6.99	5.10	230,241	46,057
14	612,941	7.72	5.38	232,777	55,239
15	621,707	6.46	6.20	237,300	53,976
16	597,215	7.31	7.43	238,765	49,576
17	617,427	7.36	5.28	241,957	55,454
18	572,320	6.19	6.12	251,317	48,480
19	602,400	7.95	6.38	254,393	53,249
20	575,004	6.34	5.67	255,699	49,696
21	667,581	5.54	7.08	262,270	52,600
22	569,880	7.89	5.10	275,588	50,472
23	644,684	6.76	7.22	277,667	53,409
24	605,468	6.39	5.21	277,816	52,660
25	599,213	6.42	6.00	279,031	50,464
26	610,735	6.82	6.97	279,934	49,525
27	603,830	7.10	5.30	287,921	49,489
28	617,803	7.77	6.96	289,358	49,375
29	529,009	8.07	5.76	294,787	48,254
30	573,211	6.91	5.96	296,246	46,017
Average	598,412	6.93	6.16	244,648.73	50,847.83

SUMMARY OUTPUT
Regression Statistics
Multiple R	0.903092399
R Square	0.81557588
Adjusted R Square	0.786068021
Standard Error	15631.83704
Observations	30
ANOVA
	df	SS	MS	F	Significance F
Regression	4	27015107558	6753776889	27.63927659	7.44276E-09
Residual	25	6108858229	244354329.2
Total	29	33123965787
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	131614.4445	74055.78904	1.777233707	0.087699772	-20906.30814	284135.197	-20906.30814	284135.197
Price (P)	-16712.96228	4282.784148	-3.902359236	0.000636387	-25533.52134	-7892.40321	-25533.52134	-7892.40321
Competitor Price (Px)	16940.39581	3630.194899	4.666525154	8.8436E-05	9463.869461	24416.92216	9463.869461	24416.92216
Advertising (Ad)	0.17082099	0.096340319	1.773099703	0.088397565	-0.02759561	0.369237591	-0.02759561	0.369237591
Income (I)	8.582484853	1.063625112	8.069088215	2.00808E-08	6.39190793	10.77306178	6.39190793	10.77306178