Data Table Square Footage, x 2306 3154 1093 1926 3157 2654 4288 2145 2608 1774 1808 3668 Selling Price ($000s), y 396 370.6 184.4 330.3 627.7 352.3 654.8 366.7 424.8 308.6 274.6 666.8

Holt Mcdougal Larson Pre-algebra: Student Edition 2012
1st Edition
ISBN:9780547587776
Author:HOLT MCDOUGAL
Publisher:HOLT MCDOUGAL
Chapter11: Data Analysis And Probability
Section11.3: Using Data Displays
Problem 1E
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(e)

Data Table
Square Footage, x
2306
3154
1093
1926
3157
2654
4288
2145
2608
1774
1808
3668
Selling Price ($000s), y
396
370.6
184.4
330.3
627.7
352.3
654.8
366.7
424.8
308.6
274.6
666.8
Transcribed Image Text:Data Table Square Footage, x 2306 3154 1093 1926 3157 2654 4288 2145 2608 1774 1808 3668 Selling Price ($000s), y 396 370.6 184.4 330.3 627.7 352.3 654.8 366.7 424.8 308.6 274.6 666.8
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.
1000+
1000
4500
O No
Yes
150
1000
4500
C
(c) Determine the linear correlation coefficient between square footage and asking price.
= 0.906
(Round to three decimal places as needed.)
(d) Is there a linear relation between square footage and asking price?
1000
(e) Find the least-squares regression line treating square footage as the explanatory variable.
150
(Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.)
700
150+
1000
4500
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. 1000+ 1000 4500 O No Yes 150 1000 4500 C (c) Determine the linear correlation coefficient between square footage and asking price. = 0.906 (Round to three decimal places as needed.) (d) Is there a linear relation between square footage and asking price? 1000 (e) Find the least-squares regression line treating square footage as the explanatory variable. 150 (Round the slope to three decimal places as needed. Round the intercept to one decimal place as needed.) 700 150+ 1000 4500
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