The cotton aphid poses a threat to cotton crop: in Iraq. The accompanying data on y = infestation rate (aphids/100 leaves) X1 = mean temperature (°C) X2 = mean relative humidity %3D
The cotton aphid poses a threat to cotton crop: in Iraq. The accompanying data on y = infestation rate (aphids/100 leaves) X1 = mean temperature (°C) X2 = mean relative humidity %3D
A First Course in Probability (10th Edition)
10th Edition
ISBN:9780134753119
Author:Sheldon Ross
Publisher:Sheldon Ross
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![The cotton aphid poses a threat to cotton crops
in Iraq. The accompanying data on
y = infestation rate (aphids/100 leaves)
X1 = mean temperature (°C)
x, = mean relative humidity
appeared in the article “Estimation of the Economic
Threshold of Infestation for Cotton Aphid" (Mesopotamia
Journal of Agriculture [1982]: 71–75). Use the data to find
the estimated regression equation and assess the utility of
the multiple regression model
y = a + Bjx1 + Bx2 + e
y
X1
X2
y
X1
X2
61
21.0
57.0
77
24.8
48.0
87
28.3
41.5
93
26.0
56.0
98
27.5
58.0
100
27.1
31.0
104
26.8
36.5
118
29.0
41.0
102
28.3
40.0
74
34.0
25.0
63
30.5
34.0
43
28.3
13.0
27
30.8
37.0
19
31.0
19.0
14
33.6
20.0
23
31.8
17.0
30
31.3
21.0
25
33.5
18.5
67
33.0
24.5
40
34.5
16.0
34.3
6.0
21
34.3
26.0
18
33.0
21.0
23
26.5
26.0
42
32.0
28.0
56
27.3
24.5
60
27.8
39.0
59
25.8
29.0
82
25.0
41.0
89
18.5
53.5
77
26.0
51.0
102
19.0
48.0
108
18.0
70.0
97
16.3
79.5
Given: significance level = 0.05
Required:
1. Regression Equation
2. F and P-value
3. Decision and Conclusion](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbcea8bba-07cf-4a0d-804c-e27aa7e7b7d6%2Fa81f8f0c-2956-499c-ac3d-201a60585ad5%2Fgjf6yh_processed.jpeg&w=3840&q=75)
Transcribed Image Text:The cotton aphid poses a threat to cotton crops
in Iraq. The accompanying data on
y = infestation rate (aphids/100 leaves)
X1 = mean temperature (°C)
x, = mean relative humidity
appeared in the article “Estimation of the Economic
Threshold of Infestation for Cotton Aphid" (Mesopotamia
Journal of Agriculture [1982]: 71–75). Use the data to find
the estimated regression equation and assess the utility of
the multiple regression model
y = a + Bjx1 + Bx2 + e
y
X1
X2
y
X1
X2
61
21.0
57.0
77
24.8
48.0
87
28.3
41.5
93
26.0
56.0
98
27.5
58.0
100
27.1
31.0
104
26.8
36.5
118
29.0
41.0
102
28.3
40.0
74
34.0
25.0
63
30.5
34.0
43
28.3
13.0
27
30.8
37.0
19
31.0
19.0
14
33.6
20.0
23
31.8
17.0
30
31.3
21.0
25
33.5
18.5
67
33.0
24.5
40
34.5
16.0
34.3
6.0
21
34.3
26.0
18
33.0
21.0
23
26.5
26.0
42
32.0
28.0
56
27.3
24.5
60
27.8
39.0
59
25.8
29.0
82
25.0
41.0
89
18.5
53.5
77
26.0
51.0
102
19.0
48.0
108
18.0
70.0
97
16.3
79.5
Given: significance level = 0.05
Required:
1. Regression Equation
2. F and P-value
3. Decision and Conclusion
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