9. Find the best least squares fit of the form y=a+bx+cx° for the data (0,4.1), (1,1.2), (2,-0.1), (3,1.1), (4,3.9). Use this fit to predict the value of y when x= 1.5.

Algebra and Trigonometry (6th Edition)
6th Edition
ISBN:9780134463216
Author:Robert F. Blitzer
Publisher:Robert F. Blitzer
ChapterP: Prerequisites: Fundamental Concepts Of Algebra
Section: Chapter Questions
Problem 1MCCP: In Exercises 1-25, simplify the given expression or perform the indicated operation (and simplify,...
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9. Find the best least squares fit of the form \( y = a + bx + cx^2 \) for the data \((0, 4.1)\), \((1, 1.2)\), \((2, 0.1)\), \((3, 1.1)\), \((4, 3.9)\). Use this fit to predict the value of \( y \) when \( x = 1.5 \).
Transcribed Image Text:**Transcription:** 9. Find the best least squares fit of the form \( y = a + bx + cx^2 \) for the data \((0, 4.1)\), \((1, 1.2)\), \((2, 0.1)\), \((3, 1.1)\), \((4, 3.9)\). Use this fit to predict the value of \( y \) when \( x = 1.5 \).
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