An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown. Monthly Rent ($) 925 1,550 800 1,450 1,950 950 1,800 1,300 Size (Square Feet) 800 1,350 1,050 1,100 2,000 650 1,300 950 . Construct a scatter plot. Choose the correct graph below. A. 02,00002,000Size (sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points are clustered around a line that falls from left to right passing through the points (800,1200) and (1200,1000). All coordinates are approximate. B. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points are clustered around a line that rises from left to right passing through the points (1200,1400) and (1600,1700). All coordinates are approximate. C. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points fall exactly on a line that falls from left to right, where the points range from (650,1500) to (2,000,500). All coordinates are approximate. D. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points fall exactly on a line that rises from left to right, where the points range from (650,650) to (2,000,2000). All coordinates are approximate. b. Use the least-squares method to determine the regression coefficients b0 and b1. b0 = enter your response here (Round to one decimal place as needed.) b1 = enter your response here (Round to one decimal place as needed.) c. Interpret the meaning of b0 and b1 in this problem. Choose the correct answer below. A. For each increase of 1 square foot in space, the monthly rent is expected to increase by b0 dollars. Since X cannot be zero, b1 has no practical interpretation. B. For each increase of 1 square foot in space, the monthly rent is expected to increase by b1 dollars. Since X cannot be zero, b0 has no practical interpretation. C. For each increase of 1 square foot in space, the monthly rent is expected to increase by b0 dollars. Apartments in this neighborhood cost at least b1 dollars. D. For each increase of 1 square foot in space, the monthly rent is expected to increase by b1 dollars. Apartments in this neighborhood cost at least
An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown. Monthly Rent ($) 925 1,550 800 1,450 1,950 950 1,800 1,300 Size (Square Feet) 800 1,350 1,050 1,100 2,000 650 1,300 950 . Construct a scatter plot. Choose the correct graph below. A. 02,00002,000Size (sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points are clustered around a line that falls from left to right passing through the points (800,1200) and (1200,1000). All coordinates are approximate. B. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points are clustered around a line that rises from left to right passing through the points (1200,1400) and (1600,1700). All coordinates are approximate. C. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points fall exactly on a line that falls from left to right, where the points range from (650,1500) to (2,000,500). All coordinates are approximate. D. 02,00002,000Size (Sq ft)Rent ($) A scatter plot has a horizontal axis labeled Size (in square feet) from 0 to 2000 in increments of 400 and a vertical axis labeled Rent ($) from 0 to 2000 in increments of 400. A series of plotted points fall exactly on a line that rises from left to right, where the points range from (650,650) to (2,000,2000). All coordinates are approximate. b. Use the least-squares method to determine the regression coefficients b0 and b1. b0 = enter your response here (Round to one decimal place as needed.) b1 = enter your response here (Round to one decimal place as needed.) c. Interpret the meaning of b0 and b1 in this problem. Choose the correct answer below. A. For each increase of 1 square foot in space, the monthly rent is expected to increase by b0 dollars. Since X cannot be zero, b1 has no practical interpretation. B. For each increase of 1 square foot in space, the monthly rent is expected to increase by b1 dollars. Since X cannot be zero, b0 has no practical interpretation. C. For each increase of 1 square foot in space, the monthly rent is expected to increase by b0 dollars. Apartments in this neighborhood cost at least b1 dollars. D. For each increase of 1 square foot in space, the monthly rent is expected to increase by b1 dollars. Apartments in this neighborhood cost at least
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
An agent for a residential real estate company in a suburb located outside a major city has the business objective of developing more accurate estimates of the monthly rental cost for apartments. Toward the goal, the agent would like to use the size of an apartment, as defined by square footage to predict the monthly rental cost. The agent selects a sample of 8 one-bedroom apartments and the data are shown.
Monthly Rent ($)
|
925
|
1,550
|
800
|
1,450
|
1,950
|
950
|
1,800
|
1,300
|
|
---|---|---|---|---|---|---|---|---|---|
Size (Square Feet)
|
800
|
1,350
|
1,050
|
1,100
|
2,000
|
650
|
1,300
|
950
|
. Construct a scatter plot . Choose the correct graph below.
b. Use the least-squares method to determine the regression coefficients
b0
and
b1.
b0
|
=
|
enter your response here
(Round to one decimal place as needed.) |
b1
|
=
|
enter your response here
(Round to one decimal place as needed.) |
c. Interpret the meaning of
b0
and
b1
in this problem. Choose the correct answer below.For each increase of 1 square foot in space, the monthly rent is expected to increase by
b0 dollars.
Since X cannot be zero,
b1
has no practical interpretation.For each increase of 1 square foot in space, the monthly rent is expected to increase by
b1 dollars.
Since X cannot be zero,
b0
has no practical interpretation.For each increase of 1 square foot in space, the monthly rent is expected to increase by
b0 dollars.
Apartments in this neighborhood cost at least b1 dollars.For each increase of 1 square foot in space, the monthly rent is expected to increase by
b1 dollars.
Apartments in this neighborhood cost at leastExpert Solution
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