Import the data from the Hill City Excel file into Minitab. You are trying to predict Price. Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables should be self explanatory. 1.Perform an F Test for overall significance of the model 2.Perform a T test for slope for the age variable 3. Find a 95% confidence interval for the slope of the SqFeet variable 4. Create a prediction, CI, and PI for 1 new set of x values (any valid numbers you want), and interpret each. 5. Run the residual plots and indicate if they show any problems with the model.

Algebra: Structure And Method, Book 1
(REV)00th Edition
ISBN:9780395977224
Author:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Publisher:Richard G. Brown, Mary P. Dolciani, Robert H. Sorgenfrey, William L. Cole
Chapter7: Applying Fractions
Section7.5: Percents
Problem 23OE
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Import the data from the Hill City Excel file into Minitab.
You are trying to predict Price.
Note: Mtn View=1 if there is a mountain view, 0 otherwise. The rest of the variables
should be self explanatory.

1.Perform an F Test for overall significance of the model

2.Perform a T test for slope for the age variable

3. Find a 95% confidence interval for the slope of the SqFeet variable
4. Create a prediction, CI, and PI for 1 new set of x values (any valid
numbers you want), and interpret each.
5. Run the residual plots and indicate if they show any problems with
the model.

A
B
E
F
G
1
Price
Bathrooms Garage spaceMtn View
SqFeet
1000
Age
Bedrooms
110000
28
3
1
1
3
133500
1400
23
3
1
1
1
4
112500
1248
58
3
4
1
1
5
141750
1106
12
1
1
1
6
195250
2112
78
2
6.
2
1
7
132250
1078
33
2
1
1
1
8
136000
952
13
2
2
9
162750
1100
1
1
1
10
148500
1040
17
3
1
2
1
11
123500
1416
27
4
2
1
1
12
142250
1150
25
3
2
13
145500
1220
17
3
2
1
14
155250
1464
28
3
2
2.
1
15
150750
1228
15
2
1
16
150900
1132
1
3
4
2
17
144000
1132
3
4
2
1
18
151900
1132
1
3
4
2
1
19
161500
2100
28
2
2
1
20
155750
1270
3
2
1
21
157250
1362
23
3
4
2
1
22
152900
1120
1
3
3
2
1
23
145250
1025
1
3
5
2
1
24
164750
1290
19
3
3
2
1
25
152500
1260
22
3
4
2
1
26
150750
1085
1
3
4
2
1
27
144750
1312
41
3
4
2
1
28
148250
1489
34
3
4
1
1
29
174500
1540
24
3
4
2
1
30
215500
2112
12
4
4
2
1
31
155750
1351
1
4
5
2
1
32
167900
1351
1.
4
4
2
1
33
148500
1193
5
3
4
2
1
34
152500
1200
1
4
4
2
1
35
167200
1256
1
3
4
2
1
36
159500
1058
1
3
4
2
1
37
153600
1210
13
3
4
2
1
38
168000
1380
1
4
2
1
39
166100
1301
7
4
2
1
40
165200
1375
8.
3
4
2
1
41
174900
1437
8.
3
4
2
1
42
160250
1330
1
3
4
2
1
43
165100
1361
1
3
4
1
44
170500
1594
16
3
3
2
1
45
155900
1186
2
3
4
2
1
46
167700
1336
1
3
4
2
47
165400
1325
5
3
4
1
48
163500
1352
3
4
2
1
49
178500
1354
7
3
2
1
50
164000
1318
1
3
4
2
1
Transcribed Image Text:A B E F G 1 Price Bathrooms Garage spaceMtn View SqFeet 1000 Age Bedrooms 110000 28 3 1 1 3 133500 1400 23 3 1 1 1 4 112500 1248 58 3 4 1 1 5 141750 1106 12 1 1 1 6 195250 2112 78 2 6. 2 1 7 132250 1078 33 2 1 1 1 8 136000 952 13 2 2 9 162750 1100 1 1 1 10 148500 1040 17 3 1 2 1 11 123500 1416 27 4 2 1 1 12 142250 1150 25 3 2 13 145500 1220 17 3 2 1 14 155250 1464 28 3 2 2. 1 15 150750 1228 15 2 1 16 150900 1132 1 3 4 2 17 144000 1132 3 4 2 1 18 151900 1132 1 3 4 2 1 19 161500 2100 28 2 2 1 20 155750 1270 3 2 1 21 157250 1362 23 3 4 2 1 22 152900 1120 1 3 3 2 1 23 145250 1025 1 3 5 2 1 24 164750 1290 19 3 3 2 1 25 152500 1260 22 3 4 2 1 26 150750 1085 1 3 4 2 1 27 144750 1312 41 3 4 2 1 28 148250 1489 34 3 4 1 1 29 174500 1540 24 3 4 2 1 30 215500 2112 12 4 4 2 1 31 155750 1351 1 4 5 2 1 32 167900 1351 1. 4 4 2 1 33 148500 1193 5 3 4 2 1 34 152500 1200 1 4 4 2 1 35 167200 1256 1 3 4 2 1 36 159500 1058 1 3 4 2 1 37 153600 1210 13 3 4 2 1 38 168000 1380 1 4 2 1 39 166100 1301 7 4 2 1 40 165200 1375 8. 3 4 2 1 41 174900 1437 8. 3 4 2 1 42 160250 1330 1 3 4 2 1 43 165100 1361 1 3 4 1 44 170500 1594 16 3 3 2 1 45 155900 1186 2 3 4 2 1 46 167700 1336 1 3 4 2 47 165400 1325 5 3 4 1 48 163500 1352 3 4 2 1 49 178500 1354 7 3 2 1 50 164000 1318 1 3 4 2 1
51
172750
1415
3
1
52
149000
1337
2
3
4
2
53
176000
2028
25
4
4
2
54
205500
1820
21
3
4
2
55
216750
2182
1
4
4
3
1
56
181250
2600
37
5
3
1
57
229500
1930
1
3
4
3
58
207500
1834
2
3
4
3
59
206250
1933
3
4.
3
60
265400
2172
1
3
4
3
61
219250
2193
4
4
2
1
62
272100
2018
1
4
5
4
63
229600
2310
1
4
5
3
1
64
261000
2256
1
4
4
3
65
274600
2710
20
4
4
1
66
82200
1450
40
3
3
2
67
93300
1728
61
4
1
2.
68
111400
1976
37
4
4
1
69
90250
1608
7
3
1
1
70
72500
1532
41
3
2
2
71
70600
1288
5
3
4.
72
65950
1320
9
3
4
2
73
90100
1416
41
2
4
2
74
110200
2022
36
4
3
75
122500
1550
42
3
2
2
76
93900
1568
40
3
3
2
77
84800
1968
40
3
3
78
103600
1536
22
3
4
2
79
121000
1872
39
4
4
2.
80
102150
2200
31
4
1
81
129600
1763
29
3
4
2
82
82950
2073
71
3
2
83
111700
1563
52
3
1
3
84
127150
2080
28
5
2
85
139300
1968
47
3
3
2
86
111900
1340
9
3
4
3
87
96400
1730
12
3
4
2
88
106250
2168
2
4
1
89
126100
2320
22
4
4
1
90
121950
1750
8
3
4
91
150950
2000
39
3
4
2
92
142100
2073
44
3
2.
2
93
173200
2000
20
3
3
2
94
157850
1900
45
6.
3
95
164700
2400
38
4
4
2
96
130100
3000
43
4
5
97
123900
2172
1
5
6
3
98
180500
2515
51
2
4
2
99
169900
2500
49
4
6
3
100
213000
2345
44
5
4
4
Transcribed Image Text:51 172750 1415 3 1 52 149000 1337 2 3 4 2 53 176000 2028 25 4 4 2 54 205500 1820 21 3 4 2 55 216750 2182 1 4 4 3 1 56 181250 2600 37 5 3 1 57 229500 1930 1 3 4 3 58 207500 1834 2 3 4 3 59 206250 1933 3 4. 3 60 265400 2172 1 3 4 3 61 219250 2193 4 4 2 1 62 272100 2018 1 4 5 4 63 229600 2310 1 4 5 3 1 64 261000 2256 1 4 4 3 65 274600 2710 20 4 4 1 66 82200 1450 40 3 3 2 67 93300 1728 61 4 1 2. 68 111400 1976 37 4 4 1 69 90250 1608 7 3 1 1 70 72500 1532 41 3 2 2 71 70600 1288 5 3 4. 72 65950 1320 9 3 4 2 73 90100 1416 41 2 4 2 74 110200 2022 36 4 3 75 122500 1550 42 3 2 2 76 93900 1568 40 3 3 2 77 84800 1968 40 3 3 78 103600 1536 22 3 4 2 79 121000 1872 39 4 4 2. 80 102150 2200 31 4 1 81 129600 1763 29 3 4 2 82 82950 2073 71 3 2 83 111700 1563 52 3 1 3 84 127150 2080 28 5 2 85 139300 1968 47 3 3 2 86 111900 1340 9 3 4 3 87 96400 1730 12 3 4 2 88 106250 2168 2 4 1 89 126100 2320 22 4 4 1 90 121950 1750 8 3 4 91 150950 2000 39 3 4 2 92 142100 2073 44 3 2. 2 93 173200 2000 20 3 3 2 94 157850 1900 45 6. 3 95 164700 2400 38 4 4 2 96 130100 3000 43 4 5 97 123900 2172 1 5 6 3 98 180500 2515 51 2 4 2 99 169900 2500 49 4 6 3 100 213000 2345 44 5 4 4
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