2. A real estate expert wanted to find the relationship between the sale price of houses and various characteristics of the houses. He collected data on five variables, recorded in the table, for 12 houses that were sold recently. The five variables are: Price: Sale price of a house in thousands of dollars. Size of the lot in acres. Lot Size: Living Area: Living area in square feet. Age: Type of house: town house (T) or Villa (V) Age of a house in years. Living Area Туре of house Price Lot Size Age a500
2. A real estate expert wanted to find the relationship between the sale price of houses and various characteristics of the houses. He collected data on five variables, recorded in the table, for 12 houses that were sold recently. The five variables are: Price: Sale price of a house in thousands of dollars. Size of the lot in acres. Lot Size: Living Area: Living area in square feet. Age: Type of house: town house (T) or Villa (V) Age of a house in years. Living Area Туре of house Price Lot Size Age a500
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
![2. A real estate expert wanted to find the relationship between the sale price of houses
and various characteristics of the houses. He collected data on five variables,
recorded in the table, for 12 houses that were sold recently. The five variables are:
Sale price of a house in thousands of dollars.
Size of the lot in acres.
Price:
Lot Size:
Living Area: Living area in square feet.
Age:
Type of house: town house (T) or Villa (V)
Age of a house in years.
Living
Area
Price
Lot Size
Age
Туре
of
house
255
1.4
2500
8
T
178
0.9
2250
12
263
1.8
2900
127
0.7
1800
24
305
2.6
3200
10
164
1.2
2400
18
245
2.1
2700
9
146
1.1
2050
28
287
2.8
2850
13
189
1.6
2600
9
211
1.7
2300
8.
123
0.5
1700
11
a) Find the general regression equation
b) Which independent variables are linearly related to price?
c) How is the fit of the model?
E BBBB BB>>}>> >{](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F13bd67f6-5288-4030-9846-430eb9131ab9%2F9b922169-513e-4551-a981-1fb4fd1c1f37%2Fybgwv5_processed.png&w=3840&q=75)
Transcribed Image Text:2. A real estate expert wanted to find the relationship between the sale price of houses
and various characteristics of the houses. He collected data on five variables,
recorded in the table, for 12 houses that were sold recently. The five variables are:
Sale price of a house in thousands of dollars.
Size of the lot in acres.
Price:
Lot Size:
Living Area: Living area in square feet.
Age:
Type of house: town house (T) or Villa (V)
Age of a house in years.
Living
Area
Price
Lot Size
Age
Туре
of
house
255
1.4
2500
8
T
178
0.9
2250
12
263
1.8
2900
127
0.7
1800
24
305
2.6
3200
10
164
1.2
2400
18
245
2.1
2700
9
146
1.1
2050
28
287
2.8
2850
13
189
1.6
2600
9
211
1.7
2300
8.
123
0.5
1700
11
a) Find the general regression equation
b) Which independent variables are linearly related to price?
c) How is the fit of the model?
E BBBB BB>>}>> >{
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