Conduct the following descriptive statistics analysis using the data set in attached Excel. Answer the questions in the spreadsheet or

Conduct the following descriptive statistics analysis using the data set in attached Excel. Answer the questions in the spreadsheet or a separate Microsoft Word document.

Insert a new column in the database that corresponds to AnnualSales. AnnualSales is the result of multiplying a restaurant’s SqFt by Sales/SqFt.

Calculate the following:

mean
standard deviation
skew
5-number summary
interquartile range (IQR) for each of the variables

Create a box-plot for the AnnualSales variable and answer the following questions:

Does it look symmetric?
Would you prefer the IQR instead of the standard deviation to describe this variable’s dispersion? Why or why not?

Create a histogram for the Sales/SqFt variable and answer the following questions:

Is the distribution symmetric? If not, what is the skew?
Are there any outliers? If so, which one(s)?
What is the SqFt area of the outlier(s)? Is the outlier(s) smaller or larger than the average restaurant in the database? What can you conclude from this observation?
What measure of central tendency is more appropriate to describe Sales/SqFt? Why?

Cite references to support your assignment.

Part 2: Report.

Write a minimum 1,000-word statistical report with the following sections:

Section 1: Scope and Descriptive Statistics
Section 2: Analysis
Section 3: Recommendations and Implementation

Section 1: Scope and Descriptive Statistics

State the report’s objective.
Discuss the nature of the current database. What variables were analyzed?
Summarize your descriptive statistics findings from Part 1. Use a table and insert appropriate graphs.

Section 2: Analysis

Using Microsoft Excel, create scatter plots and display the regression equations for the following pairs of variables:

BachDeg% versus Sales/SqFt
MedIncome versus Sales/SqFt
MedAge versus Sales/SqFt
LoyaltyCard(%) versus SalesGrowth(%)

In your report, include the scatter plots. For each scatter plot, designate the type of relationship observed (increasing/positive, decreasing/negative, or no relationship) and determine what can be concluded from these relationships.

Section 3: Recommendations and Implementation

Based on your findings above, assess which expansion criteria seem to be more effective. Is there any expansion criterion that could be changed or eliminated? If so, which one and why?
Based on your findings above, does it appear as if the loyalty card is positively correlated with sales growth? Would you recommend changing this marketing strategy?
Based on your previous findings, recommend marketing positioning that targets a specific demographic. (Hint: Are younger people patronizing the restaurants more than older people?)
Indicate what information should be collected to track and evaluate the effectiveness of your recommendations. How can this data be collected? (Hint: would you use survey/samples or census data?)

Cite references to support your assignment.

Dataset.xlsx

ChartDataSheet_

This worksheet contains values required for MegaStat charts.
Residuals X data 3/19/2007 7:49.25
66	18	45177	34.4	31
69	16	51888	41.2	20
67	10	51379	40.3	24
70	4	66081	35.4	29
78	0	50999	31.5	18
62	28	41562	36.3	30
70	28	44196	35.1	14
84	29	50975	37.6	33
68	22	72808	34.9	28
60	42	79070	34.8	29
80	36	78497	36.2	39
64	32	41245	32.2	23
80	22	33003	30.9	22
88	78	90988	37.7	37
42	35	37950	34.3	24
68	32	45206	32.4	17
80	48	79312	32.1	37
84	32	37345	31.4	22
35	27	46226	30.4	36
84	24	70024	33.9	34
78	16	54982	35.6	26
80	39	54932	35.9	20
70	70	34097	33.6	20
76	33	46593	37.9	26
56	12	51893	40.6	21
65	32	88162	37.7	37
62	0	89016	36.4	34
66	20	114353	40.9	34
76	24	75366	35	30
92	36	48163	26.4	16
112	34	49956	37.1	28
66	15	45990	30.3	36
70	28	45723	31.3	18
60	15	43800	29.6	36
86	10	68711	32.9	18
76	0	65150	40.7	24
68	16	39329	29.3	22
64	0	63657	37.3	29
52	36	67099	39.8	25
78	26	75151	33.9	28
64	28	93876	35	40
82	32	79701	35	39
86	30	77115	35.9	30
92	16	52766	33	17
72	10	32929	30.9	22
90	24	87863	38.5	29
64	20	73752	40.5	19
80	20	85366	32.1	29
102	30	39180	34.8	18
70	26	56077	38	19
62	26	77449	37	34
68	20	56822	34.7	25
74	24	80470	36.4	30
84	14	55584	36.8	21
70	32	78001	32.2	30
96	32	75307	34.8	30
70	22	76375	36.7	28
76	32	61857	33.8	31
62	28	61312	34.2	16
92	23	72040	39	31
60	20	92414	34.9	40
54	15	92602	39.3	33
110	23	59599	35.6	28
78	0	72453	36	23
72	31	67925	41.1	16
74	29	42631	24.7	25
94	0	75652	40.5	25
80	16	39650	32.9	18
124	0	48033	30.3	15
46	20	67403	36.2	19
66	0	80597	32.4	27
63	28	60928	43.5	21
72	15	73762	41.6	29
76	24	64225	31.4	15
NormalPlot data 3/19/2007 7:49.03
-259.9497306439	-2.3669115357
-188.5900144767	-2.0061237235
-178.1863109741	-1.8007082352
-165.2888689211	-1.6514108613
-156.2930386781	-1.5318456091
-147.1995334043	-1.4308738679
-145.0204151759	-1.3426905457
-132.7962270775	-1.2638662791
-132.5838765031	-1.1921973902
-127.8657575015	-1.1261791757
-124.4916500844	-1.0647357757
-123.016384493	-1.0070695657
-118.431306853	-0.952571595
-110.8440652315	-0.9007655189
-110.1477551652	-0.8512709934
-109.3430277914	-0.8037789242
-105.1097263145	-0.7580342264
-104.7616892077	-0.7138235056
-100.1917272772	-0.6709660579
-96.9455399284	-0.6293071641
-78.5222407532	-0.588713006
-66.833182556	-0.5490667518
-63.9367962151	-0.5102654979
-54.9666697606	-0.4722178495
-49.5089341383	-0.4348419815
-43.817663257	-0.3980640685
-30.5622414309	-0.3618169976
-29.7056802184	-0.3260393031
-28.8211160258	-0.2906742745
-21.3829190469	-0.2556692022
-20.8096302471	-0.220974732
-18.0336858908	-0.1865443062
-16.4732294274	-0.152333674
-15.5268611118	-0.1183004556
-12.5832024808	-0.0844037498
-11.5991899485	-0.0506037738
-10.6416197419	-0.0168615273
-6.4663288735	0.0168615273
6.6082090726	0.0506037738
10.1026389027	0.0844037498
10.1556691582	0.1183004556
11.5424324103	0.152333674
13.4792557233	0.1865443062
15.0213966843	0.220974732
18.9663798116	0.2556692022
19.2122025279	0.2906742745
19.5938287738	0.3260393031
19.7419844304	0.3618169976
23.7470781354	0.3980640685
25.1736217387	0.4348419815
28.9194386872	0.4722178495
38.4697564504	0.5102654979
50.9831788417	0.5490667518
53.0357068283	0.588713006
61.102903906	0.6293071641
63.1204953548	0.6709660579
63.8380153718	0.7138235056
71.0833539728	0.7580342264
71.3281648375	0.8037789242
75.1828858929	0.8512709934
75.2802525469	0.9007655189
81.3206554357	0.952571595
81.6351025536	1.0070695657
105.576464442	1.0647357757
115.0253844293	1.1261791757
122.2233804168	1.1921973902
150.1178490106	1.2638662791
180.3934285167	1.3426905457
196.2671375845	1.4308738679
205.7993140008	1.5318456091
234.8563337617	1.6514108613
289.7338930992	1.8007082352
336.0904495556	2.0061237235
372.5195939607	2.3669115357
Residuals X data 3/19/2007 8:01.41
66	18	45177	34.4	31
69	16	51888	41.2	20
67	10	51379	40.3	24
70	4	66081	35.4	29
78	0	50999	31.5	18
62	28	41562	36.3	30
70	28	44196	35.1	14
84	29	50975	37.6	33
68	22	72808	34.9	28
60	42	79070	34.8	29
80	36	78497	36.2	39
64	32	41245	32.2	23
80	22	33003	30.9	22
88	78	90988	37.7	37
42	35	37950	34.3	24
68	32	45206	32.4	17
80	48	79312	32.1	37
84	32	37345	31.4	22
35	27	46226	30.4	36
84	24	70024	33.9	34
78	16	54982	35.6	26
80	39	54932	35.9	20
70	70	34097	33.6	20
76	33	46593	37.9	26
56	12	51893	40.6	21
65	32	88162	37.7	37
62	0	89016	36.4	34
66	20	114353	40.9	34
76	24	75366	35	30
92	36	48163	26.4	16
112	34	49956	37.1	28
66	15	45990	30.3	36
70	28	45723	31.3	18
60	15	43800	29.6	36
86	10	68711	32.9	18
76	0	65150	40.7	24
68	16	39329	29.3	22
64	0	63657	37.3	29
52	36	67099	39.8	25
78	26	75151	33.9	28
64	28	93876	35	40
82	32	79701	35	39
86	30	77115	35.9	30
92	16	52766	33	17
72	10	32929	30.9	22
90	24	87863	38.5	29
64	20	73752	40.5	19
80	20	85366	32.1	29
102	30	39180	34.8	18
70	26	56077	38	19
62	26	77449	37	34
68	20	56822	34.7	25
74	24	80470	36.4	30
84	14	55584	36.8	21
70	32	78001	32.2	30
96	32	75307	34.8	30
70	22	76375	36.7	28
76	32	61857	33.8	31
62	28	61312	34.2	16
92	23	72040	39	31
60	20	92414	34.9	40
54	15	92602	39.3	33
110	23	59599	35.6	28
78	0	72453	36	23
72	31	67925	41.1	16
74	29	42631	24.7	25
94	0	75652	40.5	25
80	16	39650	32.9	18
124	0	48033	30.3	15
46	20	67403	36.2	19
66	0	80597	32.4	27
63	28	60928	43.5	21
72	15	73762	41.6	29
76	24	64225	31.4	15
NormalPlot data 3/19/2007 8:01.03
-259.9497306439	-2.3669115357
-188.5900144767	-2.0061237235
-178.1863109741	-1.8007082352
-165.2888689211	-1.6514108613
-156.2930386781	-1.5318456091
-147.1995334043	-1.4308738679
-145.0204151759	-1.3426905457
-132.7962270775	-1.2638662791
-132.5838765031	-1.1921973902
-127.8657575015	-1.1261791757
-124.4916500844	-1.0647357757
-123.016384493	-1.0070695657
-118.431306853	-0.952571595
-110.8440652315	-0.9007655189
-110.1477551652	-0.8512709934
-109.3430277914	-0.8037789242
-105.1097263145	-0.7580342264
-104.7616892077	-0.7138235056
-100.1917272772	-0.6709660579
-96.9455399284	-0.6293071641
-78.5222407532	-0.588713006
-66.833182556	-0.5490667518
-63.9367962151	-0.5102654979
-54.9666697606	-0.4722178495
-49.5089341383	-0.4348419815
-43.817663257	-0.3980640685
-30.5622414309	-0.3618169976
-29.7056802184	-0.3260393031
-28.8211160258	-0.2906742745
-21.3829190469	-0.2556692022
-20.8096302471	-0.220974732
-18.0336858908	-0.1865443062
-16.4732294274	-0.152333674
-15.5268611118	-0.1183004556
-12.5832024808	-0.0844037498
-11.5991899485	-0.0506037738
-10.6416197419	-0.0168615273
-6.4663288735	0.0168615273
6.6082090726	0.0506037738
10.1026389027	0.0844037498
10.1556691582	0.1183004556
11.5424324103	0.152333674
13.4792557233	0.1865443062
15.0213966843	0.220974732
18.9663798116	0.2556692022
19.2122025279	0.2906742745
19.5938287738	0.3260393031
19.7419844304	0.3618169976
23.7470781354	0.3980640685
25.1736217387	0.4348419815
28.9194386872	0.4722178495
38.4697564504	0.5102654979
50.9831788417	0.5490667518
53.0357068283	0.588713006
61.102903906	0.6293071641
63.1204953548	0.6709660579
63.8380153718	0.7138235056
71.0833539728	0.7580342264
71.3281648375	0.8037789242
75.1828858929	0.8512709934
75.2802525469	0.9007655189
81.3206554357	0.952571595
81.6351025536	1.0070695657
105.576464442	1.0647357757
115.0253844293	1.1261791757
122.2233804168	1.1921973902
150.1178490106	1.2638662791
180.3934285167	1.3426905457
196.2671375845	1.4308738679
205.7993140008	1.5318456091
234.8563337617	1.6514108613
289.7338930992	1.8007082352
336.0904495556	2.0061237235
372.5195939607	2.3669115357

Data

	Square Feet	Per Person Average Spending	Sales Growth Over Previous Year (%)	Loyalty Card % of Net Sales	Annual Sales Per Sq Ft	Median HH Income (3 Miles)	Median Age (3 Miles)	% w/ Bachelor's Degree (3 Miles)
Obs	SqFt	Sales/Person	SalesGrowth%	LoyaltyCard%	Sales/SqFt	MedIncome	MedAge	BachDeg%
1	2354	6.81	-8.31	2.07	701.97	45177	34.4	31
2	2604	7.57	-4.01	2.54	209.93	51888	41.2	20
3	2453	6.89	-3.94	1.66	364.92	51379	40.3	24
4	2340	7.13	-3.39	2.06	443.04	66081	35.4	29
5	2500	7.04	-3.30	2.48	399.20	50999	31.5	18
6	2806	6.93	-1.94	2.96	264.64	41562	36.3	30
7	2250	7.11	-0.77	2.28	571.59	44196	35.1	14
8	2400	7.13	-0.37	2.34	642.25	50975	37.6	33
9	2709	6.58	-0.25	2.20	461.45	72808	34.9	28
10	1990	6.77	-0.17	2.34	638.82	79070	34.8	29
11	2392	6.66	0.47	2.09	484.38	78497	36.2	39
12	2408	7.03	0.55	2.47	581.09	41245	32.2	23
13	2627	7.03	0.77	2.04	267.71	33003	30.9	22
14	2500	7.00	1.92	2.02	572.84	90988	37.7	37
15	1986	7.38	2.05	2.01	586.48	37950	34.3	24
16	2500	7.18	2.12	2.64	368.73	45206	32.4	17
17	2668	7.35	2.84	2.22	351.47	79312	32.1	37
18	2517	6.95	2.88	2.07	458.24	37345	31.4	22
19	1251	7.02	3.96	1.94	987.12	46226	30.4	36
20	2998	6.85	4.04	2.17	357.45	70024	33.9	34
21	2625	7.16	4.05	0.72	405.77	54982	35.6	26
22	2300	6.99	4.05	2.00	680.80	54932	35.9	20
23	2761	7.28	4.24	1.81	368.02	34097	33.6	20
24	2764	7.07	4.58	2.13	303.95	46593	37.9	26
25	2430	7.05	5.09	2.50	393.90	51893	40.6	21
26	2154	6.54	5.14	2.63	562.12	88162	37.7	37
27	2400	6.70	5.48	1.95	494.88	89016	36.4	34
28	2430	6.91	5.86	2.04	310.07	114353	40.9	34
29	2549	7.58	5.91	1.41	373.46	75366	35.0	30
30	2500	7.03	5.98	2.05	235.81	48163	26.4	16
31	3653	6.84	6.08	2.13	413.08	49956	37.1	28
32	2440	6.94	6.08	2.08	625.22	45990	30.3	36
33	2600	7.07	6.13	2.73	274.30	45723	31.3	18
34	2160	7.00	6.27	1.95	542.62	43800	29.6	36
35	2800	7.08	6.57	2.04	178.56	68711	32.9	18
36	2757	6.75	6.90	1.62	375.33	65150	40.7	24
37	2450	6.81	6.94	1.95	329.09	39329	29.3	22
38	2400	7.64	7.12	1.64	297.37	63657	37.3	29
39	2270	6.62	7.39	1.78	323.17	67099	39.8	25
40	2800	6.76	7.67	2.23	468.84	75151	33.9	28
41	2520	7.11	7.91	2.15	352.57	93876	35.0	40
42	2487	7.05	8.08	2.83	380.34	79701	35.0	39
43	2629	6.90	8.27	2.37	398.12	77115	35.9	30
44	3200	7.17	8.54	3.07	312.15	52766	33.0	17
45	2335	6.75	8.58	2.19	452.16	32929	30.9	22
46	2500	7.45	8.72	1.28	698.64	87863	38.5	29
47	2449	7.00	8.75	1.76	367.19	73752	40.5	19
48	2625	6.96	8.79	2.51	431.93	85366	32.1	29
49	3150	7.30	8.90	1.90	367.06	39180	34.8	18
50	2625	6.96	9.12	1.98	400.53	56077	38.0	19
51	2741	6.71	9.47	2.41	414.36	77449	37.0	34
52	2500	6.82	10.17	2.17	481.11	56822	34.7	25
53	2450	6.58	10.66	2.16	538.06	80470	36.4	30
54	2986	7.56	10.97	0.29	330.48	55584	36.8	21
55	2967	6.98	11.34	1.85	249.93	78001	32.2	30
56	3000	7.28	11.45	1.88	291.87	75307	34.8	30
57	2500	6.76	11.51	2.19	517.40	76375	36.7	28
58	2600	6.92	11.73	2.56	551.58	61857	33.8	31
59	2800	6.73	11.83	2.16	386.81	61312	34.2	16
60	2986	6.91	11.95	2.10	427.50	72040	39.0	31
61	2223	6.77	12.47	1.98	453.94	92414	34.9	40
62	2300	7.33	12.80	0.87	512.46	92602	39.3	33
63	3799	7.87	13.78	1.07	345.27	59599	35.6	28
64	2700	6.95	14.09	3.38	234.04	72453	36.0	23
65	2650	7.33	14.23	1.17	348.33	67925	41.1	16
66	2500	6.95	14.60	2.14	348.47	42631	24.7	25
67	2994	7.21	14.88	0.93	294.95	75652	40.5	25
68	2718	7.25	15.42	2.22	361.14	39650	32.9	18
69	3700	7.65	16.18	1.68	467.71	48033	30.3	15
70	2000	6.93	17.23	2.41	403.78	67403	36.2	19
71	2400	6.79	18.43	2.81	245.74	80597	32.4	27
72	2450	7.37	20.76	1.09	339.94	60928	43.5	21
73	2575	6.76	25.54	0.64	400.82	73762	41.6	29
74	2400	7.97	28.81	1.77	326.54	64225	31.4	15

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Conduct the following descriptive statistics analysis using the data set in attached Excel. Answer the questions in the spreadsheet or

ChartDataSheet_

Data

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