data and question will be attached to the file. i need help asap……………. hw14.xlsx

  

data and question will be attached to the file. i need help asap…………….
hw14.xlsx

hw14.docx

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Unit
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
Labor hours
29
18
12
14
12
12
11
10
11
8
12
8
9
7
8
9
7
9
6
7
11
6
7
6
9
6
8
4
6
8
8
7
4
7
6
6
5
7
6
6
5
7
6
This is fictitious data.
44
45
46
47
48
49
50
3
7
5
7
5
6
5
House
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
Selling Price
$240,800
$215,200
$199,200
$182,400
$144,800
$126,400
$312,000
$185,600
$176,800
$162,400
$304,000
$256,000
$222,400
$159,200
$130,400
Size
3070
2660
2390
2240
1500
1440
3720
2520
2160
2140
3000
3000
2700
2020
1200
Number Rooms
7
6
7
6
7
7
9
7
7
8
8
8
7
7
6
Age
23
23
20
9
17
8
31
15
8
20
15
18
17
18
17
Attached Garage
1
1
1
0
0
0
1
1
0
1
1
1
1
0
0
This is fictitious
This is fictitious data.
Homeowner
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
Neighborhood
3
2
3
3
3
4
6
5
6
1
4
1
3
2
6
6
4
6
4
4
2
2
1
6
1
3
6
1
2
1
3
6
2
4
6
5
1
3
3
3
2
3
3
1
3
4
Tax Paid
$1,138.92
$2,268.88
$1,712.93
$1,716.31
$1,599.98
$1,941.38
$980.24
$2,268.14
$1,868.73
$1,618.15
$1,705.31
$1,908.44
$1,145.30
$2,419.79
$1,632.89
$1,883.85
$1,800.83
$1,985.80
$1,929.04
$1,616.92
$1,925.38
$2,652.80
$2,319.15
$1,393.23
$2,616.94
$1,681.42
$952.51
$1,636.48
$2,648.90
$2,441.58
$2,078.22
$1,298.17
$2,868.10
$2,084.50
$1,653.76
$3,288.01
$1,848.47
$1,662.51
$1,449.33
$1,447.77
$2,414.60
$1,309.24
$1,519.18
$2,047.69
$1,686.12
$1,755.92
This is fictitious data.
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
6
6
1
1
2
3
2
1
4
5
6
4
4
3
4
5
6
3
4
6
6
6
6
6
1
6
6
1
6
3
5
6
6
5
6
6
3
6
1
6
6
3
2
6
1
4
4
$1,781.70
$1,353.92
$1,818.35
$1,904.13
$2,816.79
$1,838.13
$2,866.46
$2,117.40
$1,960.53
$2,322.78
$1,366.77
$1,653.42
$1,667.42
$1,567.33
$1,544.65
$2,922.20
$1,574.00
$1,541.02
$1,528.53
$1,177.54
$1,723.23
$1,705.59
$1,468.23
$1,081.04
$2,136.10
$1,671.80
$867.18
$2,296.04
$1,398.27
$985.60
$3,168.90
$1,067.69
$1,230.40
$3,775.00
$2,025.42
$1,279.13
$1,459.57
$1,456.21
$1,900.65
$1,367.51
$1,554.98
$1,536.49
$2,428.34
$1,825.01
$1,596.91
$1,951.69
$1,694.57
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
4
1
3
6
3
2
5
6
3
3
2
6
6
5
2
3
6
6
3
4
4
3
5
2
3
6
3
3
6
3
3
5
3
3
5
2
3
2
4
6
2
3
4
4
5
4
3
$1,970.08
$2,265.39
$863.23
$1,229.90
$1,515.65
$2,332.28
$3,045.21
$1,190.32
$1,410.75
$1,813.82
$2,243.49
$1,280.51
$1,458.34
$3,121.92
$2,297.38
$1,538.36
$1,566.28
$1,609.09
$1,513.09
$1,673.89
$1,749.77
$1,553.90
$3,175.09
$2,514.27
$1,251.61
$1,690.06
$1,181.98
$1,175.79
$1,632.60
$1,563.36
$2,006.47
$3,000.34
$1,775.11
$1,510.54
$3,189.34
$2,396.58
$1,495.29
$2,350.90
$1,763.61
$1,094.63
$2,279.87
$1,705.94
$1,773.60
$1,830.08
$2,556.52
$1,758.91
$1,687.77
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
5
3
6
3
4
5
2
6
2
6
6
6
6
6
5
1
2
6
2
6
1
1
6
3
4
3
4
6
2
6
$3,056.78
$1,423.09
$2,006.56
$1,129.66
$1,808.78
$3,177.85
$2,628.84
$1,592.98
$2,309.48
$1,341.05
$1,313.94
$1,382.76
$1,786.41
$1,533.79
$2,963.82
$1,562.61
$2,420.67
$1,752.22
$2,437.49
$1,670.68
$1,730.73
$2,205.32
$937.85
$1,348.12
$1,762.19
$1,944.03
$1,759.98
$1,014.34
$2,670.30
$969.61
1. The data on the Sheet #1 Data includes information on Labor Hours needed to produce units on
a particular production line over time. Perform a thorough regression analysis of the data.
Determine if the model is linear or nonlinear, and select an appropriate equation to model the
data. Calculate an appropriate goodness of fit test and analyze the resulting p-values. Be
prepared to interpret all values in context. Perform a residual analysis.
2. Perform a multi-stage linear regression analysis of the selling price of homes on the Sheet #2
Data. Be sure to remove any variables from the model that do not produce a significant p-value
for the variable, or if, when added to the data, produce a negligible change in 2 value. Be
prepared to defend the final model you chose and interpret the results in context.
3. The data on Sheet #3 Data records the property taxes paid on 170 homeowners in 6 different
neighborhoods. Perform an ANOVA test on the data to determine if neighborhood has an effect
on the amount of tax paid. Be sure to test all the assumptions of the hypothesis test and be
prepared to defend your analysis in context.
4.

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