Predictive and Qualitative Analysis Report

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
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-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

Location number (Obs)	Square Feet	Per Person Average Spending	Sales Growth Over Previous Year (%)	Loyalty Card % of Net Sales	Annual Sales Per Sq Ft	Median Household Income (3 Miles)	Median Age (3 Miles)	% w/ Bachelor's Degree (3 Miles)	Annual Sales (in $000)
Obs	SqFt	Sales/Person	SalesGrowth%	LoyaltyCard%	Sales/SqFt	MedIncome	MedAge	BachDeg%	AnnualSales
1	2354	6.81	-8.31	2.07	701.97	45177	34.4	31	1652.4
2	2604	7.57	-4.01	2.54	209.93	51888	41.2	20	546.7
3	2453	6.89	-3.94	1.66	364.92	51379	40.3	24	895.1
4	2340	7.13	-3.39	2.06	443.04	66081	35.4	29	1036.7
5	2500	7.04	-3.30	2.48	399.20	50999	31.5	18	998.0
6	2806	6.93	-1.94	2.96	264.64	41562	36.3	30	742.6
7	2250	7.11	-0.77	2.28	571.59	44196	35.1	14	1286.1
8	2400	7.13	-0.37	2.34	642.25	50975	37.6	33	1541.4
9	2709	6.58	-0.25	2.20	461.45	72808	34.9	28	1250.1
10	1990	6.77	-0.17	2.34	638.82	79070	34.8	29	1271.3
11	2392	6.66	0.47	2.09	484.38	78497	36.2	39	1158.6
12	2408	7.03	0.55	2.47	581.09	41245	32.2	23	1399.3
13	2627	7.03	0.77	2.04	267.71	33003	30.9	22	703.3
14	2500	7.00	1.92	2.02	572.84	90988	37.7	37	1432.1
15	1986	7.38	2.05	2.01	586.48	37950	34.3	24	1164.7
16	2500	7.18	2.12	2.64	368.73	45206	32.4	17	921.8
17	2668	7.35	2.84	2.22	351.47	79312	32.1	37	937.7
18	2517	6.95	2.88	2.07	458.24	37345	31.4	22	1153.4
19	1251	7.02	3.96	1.94	987.12	46226	30.4	36	1234.9
20	2998	6.85	4.04	2.17	357.45	70024	33.9	34	1071.6
21	2625	7.16	4.05	0.72	405.77	54982	35.6	26	1065.1
22	2300	6.99	4.05	2.00	680.80	54932	35.9	20	1565.8
23	2761	7.28	4.24	1.81	368.02	34097	33.6	20	1016.1
24	2764	7.07	4.58	2.13	303.95	46593	37.9	26	840.1
25	2430	7.05	5.09	2.50	393.90	51893	40.6	21	957.2
26	2154	6.54	5.14	2.63	562.12	88162	37.7	37	1210.8
27	2400	6.70	5.48	1.95	494.88	89016	36.4	34	1187.7
28	2430	6.91	5.86	2.04	310.07	114353	40.9	34	753.5
29	2549	7.58	5.91	1.41	373.46	75366	35.0	30	951.9
30	2500	7.03	5.98	2.05	235.81	48163	26.4	16	589.5
31	3653	6.84	6.08	2.13	413.08	49956	37.1	28	1509.0
32	2440	6.94	6.08	2.08	625.22	45990	30.3	36	1525.5
33	2600	7.07	6.13	2.73	274.30	45723	31.3	18	713.2
34	2160	7.00	6.27	1.95	542.62	43800	29.6	36	1172.1
35	2800	7.08	6.57	2.04	178.56	68711	32.9	18	500.0
36	2757	6.75	6.90	1.62	375.33	65150	40.7	24	1034.8
37	2450	6.81	6.94	1.95	329.09	39329	29.3	22	806.3
38	2400	7.64	7.12	1.64	297.37	63657	37.3	29	713.7
39	2270	6.62	7.39	1.78	323.17	67099	39.8	25	733.6
40	2800	6.76	7.67	2.23	468.84	75151	33.9	28	1312.8
41	2520	7.11	7.91	2.15	352.57	93876	35.0	40	888.5
42	2487	7.05	8.08	2.83	380.34	79701	35.0	39	945.9
43	2629	6.90	8.27	2.37	398.12	77115	35.9	30	1046.7
44	3200	7.17	8.54	3.07	312.15	52766	33.0	17	998.9
45	2335	6.75	8.58	2.19	452.16	32929	30.9	22	1055.8
46	2500	7.45	8.72	1.28	698.64	87863	38.5	29	1746.6
47	2449	7.00	8.75	1.76	367.19	73752	40.5	19	899.2
48	2625	6.96	8.79	2.51	431.93	85366	32.1	29	1133.8
49	3150	7.30	8.90	1.90	367.06	39180	34.8	18	1156.2
50	2625	6.96	9.12	1.98	400.53	56077	38.0	19	1051.4
51	2741	6.71	9.47	2.41	414.36	77449	37.0	34	1135.8
52	2500	6.82	10.17	2.17	481.11	56822	34.7	25	1202.8
53	2450	6.58	10.66	2.16	538.06	80470	36.4	30	1318.2
54	2986	7.56	10.97	0.29	330.48	55584	36.8	21	986.8
55	2967	6.98	11.34	1.85	249.93	78001	32.2	30	741.5
56	3000	7.28	11.45	1.88	291.87	75307	34.8	30	875.6
57	2500	6.76	11.51	2.19	517.40	76375	36.7	28	1293.5
58	2600	6.92	11.73	2.56	551.58	61857	33.8	31	1434.1
59	2800	6.73	11.83	2.16	386.81	61312	34.2	16	1083.1
60	2986	6.91	11.95	2.10	427.50	72040	39.0	31	1276.5
61	2223	6.77	12.47	1.98	453.94	92414	34.9	40	1009.1
62	2300	7.33	12.80	0.87	512.46	92602	39.3	33	1178.7
63	3799	7.87	13.78	1.07	345.27	59599	35.6	28	1311.7
64	2700	6.95	14.09	3.38	234.04	72453	36.0	23	631.9
65	2650	7.33	14.23	1.17	348.33	67925	41.1	16	923.1
66	2500	6.95	14.60	2.14	348.47	42631	24.7	25	871.2
67	2994	7.21	14.88	0.93	294.95	75652	40.5	25	883.1
68	2718	7.25	15.42	2.22	361.14	39650	32.9	18	981.6
69	3700	7.65	16.18	1.68	467.71	48033	30.3	15	1730.5
70	2000	6.93	17.23	2.41	403.78	67403	36.2	19	807.6
71	2400	6.79	18.43	2.81	245.74	80597	32.4	27	589.8
72	2450	7.37	20.76	1.09	339.94	60928	43.5	21	832.9
73	2575	6.76	25.54	0.64	400.82	73762	41.6	29	1032.1
74	2400	7.97	28.81	1.77	326.54	64225	31.4	15	783.7
Mean	2580.47	7.04	7.41	2.03	420.31	62807.70	35.20	26.31	1059.38
Standard. Dev.	372.38	0.30	6.58	0.55	136.31	17782.89	3.63	6.96	278.52
Min	1251.00	6.54	-8.31	0.29	178.56	32929.00	24.70	14.00	499.97
Q1	2400.00	6.83	3.98	1.86	332.85	46953.00	32.53	20.25	877.48
Median	2500.00	7.00	7.03	2.08	396.01	62757.00	35.00	26.50	1035.75
Q3	2735.25	7.18	11.42	2.33	483.56	76194.25	37.53	30.75	1228.87
Max	3799.00	7.97	28.81	3.38	987.12	114353.00	43.50	40.00	1746.60
Skew	0.53	0.90	0.49	-0.76	1.24	0.30	-0.17	0.14	0.36
IQR	335.25	0.35	7.44	0.47	150.72	29241.25	5.00	10.50	351.39

Noodles Database - Page &P of &N Printed &D Doane/Seward

Questions

Question	Answer
Does the annual sales box plot chart look symmetric?	Yes annual sales box plot looks symmetric because the median is at the center of the box with the lower and upper quartiles extending outwards on either side. The two sides are approximately the same length and the whiskers extending out from the box are also approximately the same length.
Would you prefer the IQR instead of the standard deviation to describe the dispersion of the annual sales variable? If so, why?	The IQR is a measure of dispersion that is more robust to outliers than the standard deviation, which can be affected by extreme values. This makes it especially useful when there is a large amount of outliers in the data. In addition, the IQR is easier to interpret since it is reported in the same units as the data, while the standard deviation is reported in squared units. For these reasons, I would prefer IQR to the standard deviation when describing the dispersion of the annual sales variable.
Does the histogram show that the sales per square foot distribution is symmetric?	The distribution of sales per square foot is not symmetrically distribution because the data is skewed to the right as shown by the histogram.
If the sales per square foot distrubiton is not symmetric, what is the skew?	The skew is 1.24.This indicates that the data is positively skewed.As such the right tail of the data has longer than expected values, which means that most of the observations are less than the mean, but there are some values that are far greater than the mean.
If there are any outliers, which one(s)? What is the “SqFt” area of the outlier(s)?	There are several outliers in the data set. These are all values that are significantly below or above the mean. For instance 3799 and 3700 are outliers.
Is the outlier(s) smaller or larger than the average restaurant in the database? What can you conclude from this observation?	The outliers are larger than the average. This means that the data has a high degree of variability. This suggests that the data is spread out over a wide range, with some values being much higher than the average.
What measure of central tendency may be more appropriate to describe “Sales/SqFt”? Why?	The median measure of central tendency would be more appropriate to describe Sales/SqFt because this measure is more resistant to extreme values and outliers than the mean. Given that the sales/sqft values vary greatly from location to location, the median is a more reliable measure.