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? O Selling Price Square Footage (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. A. Ay 750- 150- T 1000 1. 09 ++> 4500 Q a OB. (Round to three decimal places as needed.) 4500 Ay 1000- 1000 4500 Q (c) Determine the linear correlation coefficient between square footage and asking price. C O C. 4500 Ax 1000+ 150 750 OD. Ax 750- T 150++ 1000 ▬▬▬▬ + 4500 Q a

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Question
Data Table
Square Footage, x
2197
3077
1089
2022
2956
2845
4175
2230
2734
1722
1701
3976
Print
Selling Price ($000s), y
378.7
358
183.8
345.3
596.4
382.6
637.2
379.9
444.5
300.2
257.5
714.9
Done
- X
Transcribed Image Text:Data Table Square Footage, x 2197 3077 1089 2022 2956 2845 4175 2230 2734 1722 1701 3976 Print Selling Price ($000s), y 378.7 358 183.8 345.3 596.4 382.6 637.2 379.9 444.5 300.2 257.5 714.9 Done - X
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?
Selling Price
Square Footage
(b) Draw a scatter diagram of the data. Choose the correct scatter diagram below.
A.
750-
y
150+
r=
1000
4500
(c) Determine the linear correlation coefficient between square footage and asking price.
B.
Ау
4500-
11
1000-
1000
4500
(Round to three decimal places as needed.)
C.
AX
4500-
1000+
150
●
y
750
D.
y
750-
NU
X
4500
150+
1000
O
Transcribed Image Text: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? Selling Price Square Footage (b) Draw a scatter diagram of the data. Choose the correct scatter diagram below. A. 750- y 150+ r= 1000 4500 (c) Determine the linear correlation coefficient between square footage and asking price. B. Ау 4500- 11 1000- 1000 4500 (Round to three decimal places as needed.) C. AX 4500- 1000+ 150 ● y 750 D. y 750- NU X 4500 150+ 1000 O
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Find the​ least-squares regression line treating square footage as the explanatory variable.
 
y = 
​(Round the slope to three decimal places as needed. Round the intercept to one decimal place as​ needed.)
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