The following data was recorded by the student. S.N Temperature Humidity Yield 1 40 57 112 45 54 118 3 50 54 128 4 55 60 121 60 66 126 6. 65 59 136 7 70 61 144 8 75 58 142 80 59 149 10 85 56 165

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Chapter1: Combinatorial Analysis
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Q1
An engineering student wants to study the impact of temperature and humidity on yield.
The following data was recorded by the student.
S.N Temperature Humidity
Yield
1
40
57
112
2
45
54
118
3
50
54
128
4
55
60
121
60
66
126
65
59
136
7
70
61
144
8
75
58
142
80
59
149
10
85
56
165
Transcribed Image Text:Q1 An engineering student wants to study the impact of temperature and humidity on yield. The following data was recorded by the student. S.N Temperature Humidity Yield 1 40 57 112 2 45 54 118 3 50 54 128 4 55 60 121 60 66 126 65 59 136 7 70 61 144 8 75 58 142 80 59 149 10 85 56 165
B: Multiple Linear regression model between the response variable yield and independent
variables temperature and humidity
j) Estimate the regression coefficients of multiple linear regression model using
matrix approach.
k) Estimate the regression coefficients of multiple linear regression model using
Rstudio.
I) Interpret each regression coefficients.
m) Use the multiple regression model and find the predicted value for each y.
n) Find the residual value.
Transcribed Image Text:B: Multiple Linear regression model between the response variable yield and independent variables temperature and humidity j) Estimate the regression coefficients of multiple linear regression model using matrix approach. k) Estimate the regression coefficients of multiple linear regression model using Rstudio. I) Interpret each regression coefficients. m) Use the multiple regression model and find the predicted value for each y. n) Find the residual value.
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