Suppose a government department would like to investigate the relationship between the cost of heating a home during the month of February in the Northeast and the home' square footage. The accompanying data set shows a random sample of 10 homes. Construct a 90% prediction interval to estimate the cost in February to heat a Northeast home that is 3,100 square feet. Click the icon to view the data table. Determine the upper and lower limits of the prediction interval. UPL = $ LPL = $ (Round to two decimal places as needed.) C... Data table Heating Cost ($) 320 300 300 250 320 Square Heating Footage Cost ($) 2,430 2,430 2,030 2,220 2,350 440 320 400 340 360 Square Footage 2,640 2,210 3,120 2,520 2,950 D - X

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.5: Comparing Sets Of Data
Problem 26PFA
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Suppose a government department would like to investigate the relationship between the cost of heating a home during the month of February in the Northeast and the home's
square footage. The accompanying data set shows a random sample of 10 homes. Construct a 90% prediction interval to estimate the cost in February to heat a Northeast
home that is 3,100 square feet.
Click the icon to view the data table.
Determine the upper and lower limits of the prediction interval.
UPL = $
LPL = $
(Round to two decimal places as needed.)
Data table
Heating
Cost ($)
320
300
300
250
320
Square
Footage
2,430
2,430
2,030
2,220
2,350
Print
Heating
Cost ($)
440
320
400
340
360
Square
Footage
2,640
2,210
3,120
2,520
2,950
Done
X
Transcribed Image Text:Suppose a government department would like to investigate the relationship between the cost of heating a home during the month of February in the Northeast and the home's square footage. The accompanying data set shows a random sample of 10 homes. Construct a 90% prediction interval to estimate the cost in February to heat a Northeast home that is 3,100 square feet. Click the icon to view the data table. Determine the upper and lower limits of the prediction interval. UPL = $ LPL = $ (Round to two decimal places as needed.) Data table Heating Cost ($) 320 300 300 250 320 Square Footage 2,430 2,430 2,030 2,220 2,350 Print Heating Cost ($) 440 320 400 340 360 Square Footage 2,640 2,210 3,120 2,520 2,950 Done X
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