An agent for a residential real estate company has the business objective of developing more accurate estimates the monthly rental cost of apartments. Toward that goal, the agent would like to use the size of the apartment defined by square footage to predict monthly rental cost. The agent selects a sample of 100 one-bedroc apartments and collects the data given in the worksheet labeled "Problem 6" in the spreadshe Final_SU2020_Data_Sets.xlsx.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
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Problem 1P
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Data Set

     
Observation Cost (y) Sq Ft (x)
1 1375.45 932.57
2 1101.84 748.51
3 1117.36 802.89
4 1264.47 863.70
5 1153.78 820.81
6 1284.78 880.18
7 1347.72 889.99
8 1153.94 757.00
9 1227.91 832.32
10 940.92 636.79
11 1451.17 964.54
12 1227.46 787.09
13 1223.59 729.62
14 1299.92 824.61
15 1033.04 707.14
16 1332.67 847.91
17 1167.35 793.93
18 1424.59 1067.78
19 1212.05 963.85
20 730.11 600.31
21 1318.49 894.13
22 1004.32 710.19
23 1165.73 824.49
24 1304.73 866.44
25 1322.26 924.77
26 1171.99 822.70
27 1573.41 1007.63
28 1282.09 801.91
29 1568.79 882.75
30 1405.95 916.47
31 1294.61 858.52
32 1350.73 938.10
33 1304.96 882.32
34 1153.32 771.59
35 829.62 669.46
36 1529.05 1035.86
37 1260.27 789.55
38 1234.43 860.34
39 1409.90 906.32
40 1392.18 861.36
41 1248.01 759.53
42 1283.53 803.23
43 1031.28 837.51
44 1441.41 997.90
45 1237.03 763.92
46 1433.17 928.47
47 1322.78 880.86
48 1284.61 826.61
49 1230.46 744.30
50 1248.76 821.59
51 1187.13 841.33
52 1037.57 703.06
53 1284.05 869.22
54 1242.33 767.77
55 1303.09 840.58
56 1381.18 883.62
57 1155.09 759.53
58 1196.53 821.17
59 1334.62 885.01
60 1022.29 666.41
61 1291.58 953.60
62 1657.56 1092.45
63 1512.67 945.94
64 1217.62 818.42
65 1497.53 892.86
66 1176.65 746.40
67 1515.65 1037.79
68 1401.71 944.07
69 1366.58 928.73
70 1168.73 762.41
71 1399.46 881.99
72 1163.06 794.17
73 1275.13 818.86
74 1366.03 793.00
75 1215.29 747.43
76 1222.21 759.13
77 1163.03 829.01
78 967.75 680.11
79 1391.40 910.76
80 1248.27 838.22
81 1218.37 919.92
82 1165.00 876.96
83 1452.76 899.43
84 977.72 701.69
85 1330.79 747.97
86 986.75 805.30
87 1337.33 860.97
88 1445.37 962.87
89 1156.88 821.00
90 1505.67 976.16
91 1267.93 897.54
92 1538.10 967.41
93 1301.73 862.69
94 1013.54 784.32
95 811.32 701.86
96 1270.94 865.55
97 1513.36 931.86
98 1250.23 820.74
99 1200.31 795.92
100 1298.48 819.14
An agent for a residential real estate company has the business objective of developing more accurate estimates
the monthly rental cost of apartments. Toward that goal, the agent would like to use the size of the apartment
defined by square footage to predict monthly rental cost. The agent selects a sample of 100 one-bedroc
apartments and collects the data given in the worksheet labeled "Problem 6" in the spreadshe
Final_SU2020_Data_Sets.xlsx.
Transcribed Image Text:An agent for a residential real estate company has the business objective of developing more accurate estimates the monthly rental cost of apartments. Toward that goal, the agent would like to use the size of the apartment defined by square footage to predict monthly rental cost. The agent selects a sample of 100 one-bedroc apartments and collects the data given in the worksheet labeled "Problem 6" in the spreadshe Final_SU2020_Data_Sets.xlsx.
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