a. Determine the sample correlation coefficient, r, between Sales Revenue and Store Count.

b. Test the alternative hypothesis that there is a linear relationship between these two variables. What are the test statistic and the p-value for that test statistic? For = .05, what do you conclude about the relationship between the two variables?

c. Now estimate a simple linear regression to predict the Sales Revenue using only Store Count. Write the estimated regression equation. d. How well does the model fit the dependent variable? Cite the appropriate measure from the regression output, and interpret that measure.

Company Name	Sales Revenue ($ millions)	Store Count	Franchisee-Owned Store Count	Company-Owned Store Count
mcdonalds	40413	13846	13154	692
starbucks	21550	15041	6768	8273
chick_fil_a	11000	2500	2500	0
taco_bell	11000	7089	6622	467
burger_king	10300	7346	7294	52
subway	10000	23802	23802	0
wendys	9865	5852	5495	357
dunkin	9220	9630	9630	0
dominos	7100	6157	5815	342
panera_bread	5925	2225	1202	1023
chipotle	5520	2580	0	2580
pizza_hut	5380	7416	7393	23
kfc	4820	4065	4009	56
sonic_drive_in	4687	3526	3329	197
arbys	3885	3359	2170	1189
little_caesars	3850	4213	3652	561
panda_express	3800	2184	138	2046
dairy_queen	3760	4381	4379	2
popeyes_chicken	3750	2499	2458	41
jack_in_the_box	3505	2243	2106	137
papa_johns	2655	3142	2544	598
whataburger	2566	830	127	703
jimmy_johns	2105	2787	2735	52
hardees	2070	1830	1713	117
zaxbys	1840	904	755	149
culvers	1730	733	726	6
five_guys	1662	1368	872	496
raising_canes	1466	457	86	371
wingstop	1400	1231	1200	31