14.61 This exercise requires use of a computer package. The accompanying n = 25 observations on y = catch at intake (number of fish), x₁ = water temperature (°C), x₂ = minimum tide height (m), x3 = number of pumps running, x4 = speed (knots), and x5 = wind-range of direction (degrees) constitute a subset of the data that appeared in the article "Multiple Regression Analysis for Forecasting Critical Fish Influxes at Power Station Intakes" (Journal of Applied Ecology [1983]: 33-42). Use the variable selection procedures discussed in this section to formulate a model.
14.61 This exercise requires use of a computer package. The accompanying n = 25 observations on y = catch at intake (number of fish), x₁ = water temperature (°C), x₂ = minimum tide height (m), x3 = number of pumps running, x4 = speed (knots), and x5 = wind-range of direction (degrees) constitute a subset of the data that appeared in the article "Multiple Regression Analysis for Forecasting Critical Fish Influxes at Power Station Intakes" (Journal of Applied Ecology [1983]: 33-42). Use the variable selection procedures discussed in this section to formulate a model.
Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.2: The Least Square Line
Problem 8E
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Question
Please solve using SPSS
Transcribed Image Text:y
1
11
8
30
2
6
11
14
53
9
4
3
7
9
10
7
y
12
12
26
14
18
14
5
X₁
9.9
10.1
10.0
8.7
10.3
10.5
11.0
11.2
12.9
13.2
16.2
15.8
16.2
15.8
16.0
16.2
X₁
17.1
17.5
17.5
17.4
17.4
17.8
18.0
X₂
1.2
0.5
0.9
0.8
1.5
0.3
1.2
0.6
1.8
0.2
0.7
1.6
0.4
1.2
0.8
1.2
X2
0.7
0.8
1.2
0.8
1.1
0.5
1.6
X3
4
4
4
4
4
4
3
3
3
3
3
3
3
3
3
3
X3
3
3
3
3
3
3
3
X4
17
23
18
9
13
10
9
7
10
an6ovana
12
10
12
X4
10
12
18
9
13
8
10
X5
120
30
20
160
40
150
50
100
90
50
80
120
50
60
90
160
(continued)
X5
90
110
130
60
30
160
40
![14.61 ● This exercise requires use of a computer package.
The accompanying n = 25 observations on y = catch at
intake (number of fish), x₁ = water temperature (°C),
x₂ = minimum tide height (m), x3 = number of pumps
running, x4 = speed (knots), and x5 = wind-range of
direction (degrees) constitute a subset of the data that
appeared in the article "Multiple Regression Analysis
for Forecasting Critical Fish Influxes at Power Station
Intakes" (Journal of Applied Ecology [1983]: 33-42).
Use the variable selection procedures discussed in this
section to formulate a model.
y
17
42
X₁
6.7
7.8
X2
0.5
1.0
X3
4
4
ХА
10
24
X5
50
30
(continued)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F143fb460-ca06-4a28-85d3-f8c7f8657182%2Ff7f2f31a-ba66-44a9-8f02-637324bcc4ea%2Fmnospzp_processed.png&w=3840&q=75)
Transcribed Image Text:14.61 ● This exercise requires use of a computer package.
The accompanying n = 25 observations on y = catch at
intake (number of fish), x₁ = water temperature (°C),
x₂ = minimum tide height (m), x3 = number of pumps
running, x4 = speed (knots), and x5 = wind-range of
direction (degrees) constitute a subset of the data that
appeared in the article "Multiple Regression Analysis
for Forecasting Critical Fish Influxes at Power Station
Intakes" (Journal of Applied Ecology [1983]: 33-42).
Use the variable selection procedures discussed in this
section to formulate a model.
y
17
42
X₁
6.7
7.8
X2
0.5
1.0
X3
4
4
ХА
10
24
X5
50
30
(continued)
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