b. Using a matrix approach, i) find the estimated regression coefficients and hence, state the simple linear regression equation. ii) Do the data support the theory that the percentage of damage squares increase as every day increase in the age of cotton plant? Test using a = 0.05. iii) Find a 95% prediction interval for the percentage of damage squares that affected by 20 days of cotton plant's age.
b. Using a matrix approach, i) find the estimated regression coefficients and hence, state the simple linear regression equation. ii) Do the data support the theory that the percentage of damage squares increase as every day increase in the age of cotton plant? Test using a = 0.05. iii) Find a 95% prediction interval for the percentage of damage squares that affected by 20 days of cotton plant's age.
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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Transcribed Image Text:Infestation of crops by insects has long been of great concern to farmers and agricultural
scientists. A study namely "Cotton Square Damage by the Plant Bug, Lygus Hesperus, and
Abscission Rates" reports data on percent of damage squares (%) which is affected by age
of cotton plant (days). The data are shown as follows:
Age of a cotton plant
11
12
15
17
18
Damage squares
16
12
18
30
52
41
Age of a cotton plant
21
25
27
30
31
33
Damage squares
23
63
65
60
48
84
b. Using a matrix approach,
i) find the estimated regression coefficients and hence, state the simple linear
regression equation.
ii) Do the data support the theory that the percentage of damage squares increase as
every day increase in the age of cotton plant? Test using a = 0.05.
iii) Find a 95% prediction interval for the percentage of damage squares that affected by
20 days of cotton plant's age.
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