(Use SPSS) Hanover County is known for many things, but one of the most popular is the Hanover "Better Boy" tomato. The agricultural extension office conducted a study to determine the best locations in the county to grow "Better Boy" tomatoes. Eleven tomato farms throughout the county were randomly selected, and the following information was collected at each farm: X1-moisture retention of soil (%), X2-pH of the soil, X3-nitrogen content of the soil (%), X4-depth of topsoil (cm), and Y-quality score of tomatoes harvested. Perform the complete appropriate analysis (i.e., choose the best model for predicting total winnings and check all assumptions) - be sure to fit the best model using a 10% significance level for any hypothesis tests. [You do not need to make any predictions]. X1 18 56 28 22 19 43 31 18 20 26 19 X2 6.5 6.2 6.9 6.4 6.0 6.2 6.5 6.1 7.1 6.9 6.3 X3 5.1 6.0 5.7 6.7 5.2 4.8 4.3 6.4 4.9 6.2 6.5 X4 40 85 69 90 83 28 41 87 79 76 90 Y 420 609 444 872 543 350 296 702 518 627 683
(Use SPSS) Hanover County is known for many things, but one of the most popular is the Hanover "Better Boy" tomato. The agricultural extension office conducted a study to determine the best locations in the county to grow "Better Boy" tomatoes. Eleven tomato farms throughout the county were randomly selected, and the following information was collected at each farm: X1-moisture retention of soil (%), X2-pH of the soil, X3-nitrogen content of the soil (%), X4-depth of topsoil (cm), and Y-quality score of tomatoes harvested. Perform the complete appropriate analysis (i.e., choose the best model for predicting total winnings and check all assumptions) - be sure to fit the best model using a 10% significance level for any hypothesis tests. [You do not need to make any predictions]. X1 18 56 28 22 19 43 31 18 20 26 19 X2 6.5 6.2 6.9 6.4 6.0 6.2 6.5 6.1 7.1 6.9 6.3 X3 5.1 6.0 5.7 6.7 5.2 4.8 4.3 6.4 4.9 6.2 6.5 X4 40 85 69 90 83 28 41 87 79 76 90 Y 420 609 444 872 543 350 296 702 518 627 683
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
![(Use SPSS) Hanover County is known for many things, but one of the most popular is the Hanover "Better Boy" tomato. The agricultural extension office conducted a
study to determine the best locations in the county to grow "Better Boy" tomatoes. Eleven tomato farms throughout the county were randomly selected, and the
following information was collected at each farm: X1-moisture retention of soil (%), X2-pH of the soil, X3-nitrogen content of the soil (%), X4-depth of topsoil (cm),
and Y-quality score of tomatoes harvested. Perform the complete appropriate analysis (i.e., choose the best model for predicting total winnings and check all
assumptions) - be sure to fit the best model using a 10% significance level for any hypothesis tests. [You do not need to make any predictions].
X1
18
56
28
22
19
43
31
18
20
26
19
X2
6.5
6.2
6.9
6.4
6.0
6.2
6.5
6.1
7.1
6.9
6.3
X3
5.1
6.0
5.7
6.7
5.2
4.8
4.3
6.4
4.9
6.2
6.5
X4
40
85
69
90
83
28
41
87
79
76
90
Y
420
609
444
872
543
350
296
702
518
627
683](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fbd1e3813-29ee-4559-9532-7c63fe4cc8e7%2F7f76db00-d382-4195-9979-adcca318b653%2Fcd6vjlp_processed.png&w=3840&q=75)
Transcribed Image Text:(Use SPSS) Hanover County is known for many things, but one of the most popular is the Hanover "Better Boy" tomato. The agricultural extension office conducted a
study to determine the best locations in the county to grow "Better Boy" tomatoes. Eleven tomato farms throughout the county were randomly selected, and the
following information was collected at each farm: X1-moisture retention of soil (%), X2-pH of the soil, X3-nitrogen content of the soil (%), X4-depth of topsoil (cm),
and Y-quality score of tomatoes harvested. Perform the complete appropriate analysis (i.e., choose the best model for predicting total winnings and check all
assumptions) - be sure to fit the best model using a 10% significance level for any hypothesis tests. [You do not need to make any predictions].
X1
18
56
28
22
19
43
31
18
20
26
19
X2
6.5
6.2
6.9
6.4
6.0
6.2
6.5
6.1
7.1
6.9
6.3
X3
5.1
6.0
5.7
6.7
5.2
4.8
4.3
6.4
4.9
6.2
6.5
X4
40
85
69
90
83
28
41
87
79
76
90
Y
420
609
444
872
543
350
296
702
518
627
683
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