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.
Chapter10: Exponential And Logarithmic Functions
Section10.3: Evaluate And Graph Logarithmic Functions
Problem 10.53TI: In 1906, San Francisco experienced an intense earthquake with a magnitude of 7.8 on the Richter...
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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 |
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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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