The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Avery’s car over several months. Table[U]’s Gas Fill Up Log Miles Driven, x 280280 312312 319319 285285 309309 320320 315315 Cost to Fill up ($$), y 22.0822.08 25.2525.25 25.2125.21 23.7023.70 25.4125.41 26.0726.07 24.5424.54 Copy Data Step 2 of 2 : If Avery needs to drive 297297 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.
The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Avery’s car over several months. Table[U]’s Gas Fill Up Log Miles Driven, x 280280 312312 319319 285285 309309 320320 315315 Cost to Fill up ($$), y 22.0822.08 25.2525.25 25.2125.21 23.7023.70 25.4125.41 26.0726.07 24.5424.54 Copy Data Step 2 of 2 : If Avery needs to drive 297297 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.
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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The table below is a record of the number of miles driven between stops for gas and the amount of money spent to fill up the gas tank in Avery’s car over several months.
Table[U]’s Gas Fill Up Log
Miles Driven, x | 280280 | 312312 | 319319 | 285285 | 309309 | 320320 | 315315 |
---|---|---|---|---|---|---|---|
Cost to Fill up ($$), y | 22.0822.08 | 25.2525.25 | 25.2125.21 | 23.7023.70 | 25.4125.41 | 26.0726.07 | 24.5424.54 |
Copy Data
Step 2 of 2 :
If Avery needs to drive 297297 miles home from college and leaves with a full tank, how much should she budget to fill up when she gets home? Assume the regression equation is appropriate for prediction. Round your answer to the nearest cent.
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