(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. OA. 4000- 1000+ 150 700 Q O B. 700- 150 1000 4000 (Round to three decimal places as needed.) Q O C. 700- 150+ 1000 4000 Q Q (c) Determine the linear correlation coefficient between square footage and asking price. D. 4000- 1000- 1000 4000 Q Q

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
Square Footage, x
2192
3178
1077
2026
3105
2860
3944
2150
2507
1707
1699
3718
Selling Price ($000s), y
378.1
373.7
181.9
346
621.5
383.6
601.1
367.4
409.1
298.1
257.3
675.2
Transcribed Image Text:Square Footage, x 2192 3178 1077 2026 3105 2860 3944 2150 2507 1707 1699 3718 Selling Price ($000s), y 378.1 373.7 181.9 346 621.5 383.6 601.1 367.4 409.1 298.1 257.3 675.2
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.
4000-
1000+
150
r=
●●
700
B.
Yes
No
Ау
700-
150-
1000
:
………
4000
C.
700-
150+
1000
…...
(c) Determine the linear correlation coefficient between square footage and asking price.
(Round to three decimal places as needed.)
(d) Is there a linear relation between square footage and asking price?
4000
Q
O D.
4000
Ay
1000-
1000
(e) Find the least-squares regression line treating square footage as the explanatory variable.
y=x+
(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)
4000
Q
Transcribed Image Text: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. 4000- 1000+ 150 r= ●● 700 B. Yes No Ау 700- 150- 1000 : ……… 4000 C. 700- 150+ 1000 …... (c) Determine the linear correlation coefficient between square footage and asking price. (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 4000 Q O D. 4000 Ay 1000- 1000 (e) Find the least-squares regression line treating square footage as the explanatory variable. y=x+ (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 4000 Q
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