2:58 K One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. (a) Which variable is the explanatory variable? Square Footage ● Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. Ау 4500- ******** 1000+ 1000 4500 Q Yes No B. AX 4500- 1000 150 750 Q C. 750- 150+ 1000 LTE 2.4G. 30% r= 0.905 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 1 4500 (c) Determine the linear correlation coefficient between square footage and asking price. Q D. Ay 750- 150+ 1000 (e) Find the least-squares regression line treating square footage as the explanatory variable. y = 0.16 x+ (16.49 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 4500
2:58 K One of the biggest factors in determining the value of a home is the square footage. The accompanying data represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a certain region. Complete parts (a) through (h) below. Click the icon to view the housing data. (a) Which variable is the explanatory variable? Square Footage ● Selling Price (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. O A. Ау 4500- ******** 1000+ 1000 4500 Q Yes No B. AX 4500- 1000 150 750 Q C. 750- 150+ 1000 LTE 2.4G. 30% r= 0.905 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 1 4500 (c) Determine the linear correlation coefficient between square footage and asking price. Q D. Ay 750- 150+ 1000 (e) Find the least-squares regression line treating square footage as the explanatory variable. y = 0.16 x+ (16.49 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 4500
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
Transcribed Image Text:2:58
K
One of the biggest factors in determining the value of a home is the square footage. The accompanying data
represent the square footage and selling price (in thousands of dollars) for a random sample of homes for sale in a
certain region. Complete parts (a) through (h) below.
Click the icon to view the housing data.
(a) Which variable is the explanatory variable?
Square Footage
O Selling Price
(b) Draw a scatter diagram of the data. Choose the correct scatter diagram below.
O A.
Ау
4500-
********
1000+
1000
Yes
No
4500
B.
Q AX
4500-
Q
|||
1000+
150
=
750
C.
750-
r= 0.905
(Round to three decimal places as needed.)
(d) Is there a linear relation between square footage and asking price?
150+
O
1000
LTE 2.4G. 30%
(c) Determine the linear correlation coefficient between square footage and asking price.
1
4500
Q
D.
Ay
750-
(e) Find the least-squares regression line treating square footage as the explanatory variable.
y = 0.16 x + (16.49
(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)
150+
1000
4500
Transcribed Image Text:Square Footage, x
Selling Price ($000s), y
2148
371.1
3231
382.2
1177
197.6
1988
339.9
3064
614.9
TT
2735
364.7
4146
632.7
2215
377.7
2625
427.5
1629
285.9
1773
268.9
3887
701.4
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