Question 1 The income of farmers depends on various factors. To predict the income of the next year, a study was undertaken and data was gathered considering as many as possible factors that might influence the yearly income. Regression methods are used to create such a prediction function, that is, we want to predict the profit for the next year. The following were determined. X₁ SIZE-farm size recorded x 1000 hectares. X₂ AGE- how long the farm has been in operation in years X RATIO- the ratio of land size to field size recorded as 0.5, 0.75, 0.8 and 0.9 = METHOD-rotational and non rotational method of planting PINCOME the income per year recorded in x R 1 000 000.00 The partial dataset is as follows INCOME Y 1.3 2.4 3.2 1.5 2.1 a. C. 10- OB- 06- 04- 02- 00. SIZE X₁ 5 Shermat 8 2 1.2 1.5 Predicted AGE X₂ Theoretical Quantiles 20 100 80 50 11 1.1. The analyst did some exploratory analysis and below are some of the residual plots he constructed. Study the plots and answer the questions that follows. RATIO X₂ 0.5 0.75 0.8 0.8 0.75 METHOD X₁ Rotational Rotational Predicted Non-rotational Rotational Non-rotational Diagnose each of the possible problems that are displayed in the plots. If applicable also mention a formal way to test that it is indeed a problem. Also, when a problem is diagnosed, provide a possible remedial measure to remedy the problem. 1.2. In order to prepare the dataset for modelling, it became clear that RATIO repeats with similar values. The analyst decided to regard them also as categorical variables. Amend the dataset fully in order to build a regression model. Use an ascending order in the coding structure. 1.3. Show the new amended data set and formulate the regression model that must be estimated. Apply all the changes done to the dataset in Question 1.2 and give the regression function. 1.4. The estimated response function is obtained using the coding structure of Question 1.2. P= 1.34 +0.034X₁ +0.049 X₂-0.041 X₁ +0.029X, +0.011 Xs +0.08X6- Explain the regression coefficients b₁, b, and be 1.5. Find the fitted response function for the rotational METHOD of farming on a farm with RATIO of 0.8. 1.6. Refer to Question 1.5. The analyst has a suspicion that there is interaction between the size and the age of the farm if the method of farming is rotational and the field/land ratio is 0.8. Give the response function to show this. Also, interpret b₂ if ß₂ = 0.1 and the size of the farm is 1000 hectares.

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question
Please help with 1.2 and 1.3 only.
Question 1
The income of farmers depends on various factors. To predict the income of the next year, a study was
undertaken and data was gathered considering as many as possible factors that might influence the
yearly income. Regression methods are used to create such a prediction function, that is, we want to
predict the profit for the next year. The following were determined.
X₁ SIZE- farm size recorded x 1000 hectares
X₂
AGE-how long the farm has been in operation in years
X3 = RATIO - the ratio of land size to field size recorded as 0.5, 0.75, 0.8 and 0.9
X₁ = METHOD - rotational and non rotational method of planting
Y INCOME the income per year recorded in x R 1 000 000.00
The partial dataset is as follows
INCOME Y
1.3
2.4
3.2
1.5
2.1
a.
C.
1.0-
04-
02-
SIZE X₁
00-
5
8
2
1.2
1.5
Predicted
AGE X₂
Theoretical Quantiles
20
100
80
50
11
b.
RATIO X₂
3
0.5
0.75
1.1. The analyst did some exploratory analysis and below are some of the residual plots he constructed.
Study the plots and answer the questions that follows.
0.8
0.8
0.75
METHOD X4
Predicted
Rotational
Rotational
Non-rotational
Rotational
Non-rotational
Diagnose each of the possible problems that are displayed in the plots. If applicable also mention
a formal way to test that it is indeed a problem. Also, when a problem is diagnosed, provide a
possible remedial measure to remedy the problem.
1.2. In order to prepare the dataset for modelling, it became clear that RATIO repeats with similar
values. The analyst decided to regard them also as categorical variables. Amend the dataset fully
in order to build a regression model. Use an ascending order in the coding structure.
1.3. Show the new amended data set and formulate the regression model that must be estimated.
Apply all the changes done to the dataset in Question 1.2 and give the regression function.
1.4. The estimated response function is obtained using the coding structure of Question 1.2.
P= 1.34 + 0.034X₁ + 0.049 X₂-0.041 X₁ +0.029X, +0.011 X5 +0.08X6-
Explain the regression coefficients b₁,b₁ and b
1.5. Find the fitted response function for the rotational METHOD of farming on a farm with RATIO
of 0.8.
1.6. Refer to Question 1.5. The analyst has a suspicion that there is interaction between the size and
the age of the farm if the method of farming is rotational and the field/land ratio is 0.8. Give the
response function to show this. Also, interpret b₂ if ß₂ = 0.1 and the size of the farm is 1000
hectares.
Transcribed Image Text:Question 1 The income of farmers depends on various factors. To predict the income of the next year, a study was undertaken and data was gathered considering as many as possible factors that might influence the yearly income. Regression methods are used to create such a prediction function, that is, we want to predict the profit for the next year. The following were determined. X₁ SIZE- farm size recorded x 1000 hectares X₂ AGE-how long the farm has been in operation in years X3 = RATIO - the ratio of land size to field size recorded as 0.5, 0.75, 0.8 and 0.9 X₁ = METHOD - rotational and non rotational method of planting Y INCOME the income per year recorded in x R 1 000 000.00 The partial dataset is as follows INCOME Y 1.3 2.4 3.2 1.5 2.1 a. C. 1.0- 04- 02- SIZE X₁ 00- 5 8 2 1.2 1.5 Predicted AGE X₂ Theoretical Quantiles 20 100 80 50 11 b. RATIO X₂ 3 0.5 0.75 1.1. The analyst did some exploratory analysis and below are some of the residual plots he constructed. Study the plots and answer the questions that follows. 0.8 0.8 0.75 METHOD X4 Predicted Rotational Rotational Non-rotational Rotational Non-rotational Diagnose each of the possible problems that are displayed in the plots. If applicable also mention a formal way to test that it is indeed a problem. Also, when a problem is diagnosed, provide a possible remedial measure to remedy the problem. 1.2. In order to prepare the dataset for modelling, it became clear that RATIO repeats with similar values. The analyst decided to regard them also as categorical variables. Amend the dataset fully in order to build a regression model. Use an ascending order in the coding structure. 1.3. Show the new amended data set and formulate the regression model that must be estimated. Apply all the changes done to the dataset in Question 1.2 and give the regression function. 1.4. The estimated response function is obtained using the coding structure of Question 1.2. P= 1.34 + 0.034X₁ + 0.049 X₂-0.041 X₁ +0.029X, +0.011 X5 +0.08X6- Explain the regression coefficients b₁,b₁ and b 1.5. Find the fitted response function for the rotational METHOD of farming on a farm with RATIO of 0.8. 1.6. Refer to Question 1.5. The analyst has a suspicion that there is interaction between the size and the age of the farm if the method of farming is rotational and the field/land ratio is 0.8. Give the response function to show this. Also, interpret b₂ if ß₂ = 0.1 and the size of the farm is 1000 hectares.
Expert Solution
steps

Step by step

Solved in 3 steps with 1 images

Blurred answer
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman