An automobile tire manufacturer collected the data in the table relating tire pressure x (in pounds per square inch) and mileage (in thousands of miles). Use quadratic regression on a graphing utility to find the quadratic function f(x) that best fits the data. f(x)=x²+x+ (Round to three decimal places as needed.) x Mileage 28 43 30 52 32 55 34 49 36 47

Advanced Engineering Mathematics
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ISBN:9780470458365
Author:Erwin Kreyszig
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Chapter2: Second-order Linear Odes
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An automobile tire manufacturer collected the data in the table relating tire pressure x
(in pounds per square inch) and mileage (in thousands of miles). Use quadratic
regression on a graphing utility to find the quadratic function f(x) that best fits the data.
f(x) =
= x² +
x +
(Round to three decimal places as needed.)
x Mileage
28
43
30 52
32
55
34
49
36
47
Transcribed Image Text:← An automobile tire manufacturer collected the data in the table relating tire pressure x (in pounds per square inch) and mileage (in thousands of miles). Use quadratic regression on a graphing utility to find the quadratic function f(x) that best fits the data. f(x) = = x² + x + (Round to three decimal places as needed.) x Mileage 28 43 30 52 32 55 34 49 36 47
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