SUMMARY OUTPUT Regression Statistics Multiple R 0 900978002 R Square 0 811761359 Adjusted R Square 0 80636107 Standard Error 1 300567646 Observations 252 ANOVA df SS MS F Significance F Regression 7 1779 816852 254 2595503 150 3181363 9 9968E 85 Residual 244 412 7201934 1 691476202 Total 251 2192 537046 Coefficients Standard Error t Stat P value Lower 95 Upper 95 Intercept 0 838224606 1 82181342 0 460104529 0 64585093 2 750263216 4 426712428 Trend 0 023629245 0 001133382 20 84843394 0 0000 0 021396784 0 025861707 SI 0 101636214 0 006668185 15 24196001 0 0000 0 088501663 0 114770765 Dummy Variable 3 887700658 0 391448089 9 931586753 0 0000 4 658749266 3 11665205 Brand H (Own brand) 0 061546842 0 003758374 16 37592283 0 0000 0 068949839 0 054143845 Brand E 0 006413311 0 00304845 2 103794123 0 0364 0 000408676 0 012417946 Brand G 0 017539028 0 005121918 3 42430877 0 0007 0 007450212 0 027627843 Brand I 0 015932994 0 003704925 4 30049026 0 0000 0 008635277 0 02323071 From the summary output above, how do we interpret on the effect of increasing the price of my own rice brand What about the effect from competitors Which competitors are relevant and which ones are not Why do you think your brand is affected by some competitors and not others By using the concepts of elasticity in Microeconomics What is your recommendation in terms of pricing strategies

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SUMMARY OUTPUT Regression Statistics Multiple R 0.900978002 R Square 0.811761359 Adjusted R Square 0.80636107 Standard Error 1.300567646 Observations 252 ANOVA df SS MS F Significance

SUMMARY OUTPUT

Regression Statistics
Multiple R	0.900978002
R Square	0.811761359
Adjusted R Square	0.80636107
Standard Error	1.300567646
Observations	252

ANOVA
	df	SS	MS	F	Significance F
Regression	7	1779.816852	254.2595503	150.3181363	9.9968E-85
Residual	244	412.7201934	1.691476202
Total	251	2192.537046

	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%
Intercept	0.838224606	1.82181342	0.460104529	0.64585093	-2.750263216	4.426712428
Trend	0.023629245	0.001133382	20.84843394	0.0000	0.021396784	0.025861707
SI	0.101636214	0.006668185	15.24196001	0.0000	0.088501663	0.114770765
Dummy Variable	-3.887700658	0.391448089	-9.931586753	0.0000	-4.658749266	-3.11665205
Brand H (Own brand)	-0.061546842	0.003758374	-16.37592283	0.0000	-0.068949839	-0.054143845
Brand E	0.006413311	0.00304845	2.103794123	0.0364	0.000408676	0.012417946
Brand G	0.017539028	0.005121918	3.42430877	0.0007	0.007450212	0.027627843
Brand I	0.015932994	0.003704925	4.30049026	0.0000	0.008635277	0.02323071

From the summary output above, how do we interpret on the effect of increasing the price of my own rice brand? What about the effect from competitors? Which competitors are relevant and which ones are not? Why do you think your brand is affected by some competitors and not others? By using the concepts of elasticity in Microeconomics. What is your recommendation in terms of pricing strategies?