The following are advertised sale prices of color televisions at an electronics store. Size (inches) Sale Price ($) 9 137 20 177 27 287 31 447 35 1177 40 2177 60 2497 Part (a) Part (b) Part (c) Part (d) O Part (e) Find the correlation coefficient r. (Round your answer to four decimal places.) r= Is it significant? Yes No O Part (f) Find the estimated sale price for a 34 inch television. (Use your equation from part (d). Round your answer to two decimal places.) $ Find the estimated sale price for a 52 inch television. (Use your equation from part (d). Round your answer to two decimal places.) O Part (g) Does it appear that a line is the best way to fit the data? Why or why not? A line does not appear to be the best way to fit the data because it does not touch all the data points. A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive. A line does appear to be the best way to fit the data because the data follow a weak positive trend. A line does not appear to be the best way to fit the data because the data do not follow a linear trend. O O O

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.5: Correlation And Causation
Problem 11PPS
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please label each part

The following are advertised sale prices of color televisions at an electronics store.
Size (inches)
Sale Price ($)
9.
137
20
177
27
287
31
447
35
1177
40
2177
60
2497
O Part (a)
Part (b)
+ Part (c)
Part (d)
Part (e)
Find the correlation coefficient r. (Round your answer to four decimal places.)
r =
Is it significant?
Yes
No
O Part (f)
Find the estimated sale price for a 34 inch television. (Use your equation from part (d). Round your answer to two decimal places.)
2$
Find the estimated sale price for a 52 inch television. (Use your equation from part (d). Round your answer to two decimal places.)
$
Part (g)
Does it
appear that a line is the best way to fit the data? Why or why not?
A line does not appear to be the best way to fit the data because it does not touch all the data points.
A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive.
A line does appear to be the best way to fit the data because the data follow a weak positive trend.
A line does not appear to be the best way to fit the data because the data do not follow a linear trend.
O O
O O
Transcribed Image Text:The following are advertised sale prices of color televisions at an electronics store. Size (inches) Sale Price ($) 9. 137 20 177 27 287 31 447 35 1177 40 2177 60 2497 O Part (a) Part (b) + Part (c) Part (d) Part (e) Find the correlation coefficient r. (Round your answer to four decimal places.) r = Is it significant? Yes No O Part (f) Find the estimated sale price for a 34 inch television. (Use your equation from part (d). Round your answer to two decimal places.) 2$ Find the estimated sale price for a 52 inch television. (Use your equation from part (d). Round your answer to two decimal places.) $ Part (g) Does it appear that a line is the best way to fit the data? Why or why not? A line does not appear to be the best way to fit the data because it does not touch all the data points. A line is the best way to fit the data because the slope of the line is positive and the linear correlation is positive. A line does appear to be the best way to fit the data because the data follow a weak positive trend. A line does not appear to be the best way to fit the data because the data do not follow a linear trend. O O O O
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