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The least squares fit line for the points (1,-0.3), (2,-0.4), and (3, 0.7) has form = mx + b. First, let f be the sum of the square errors between the predicted values ŷ and y-values for the three points. f(m, b)= Minimize this function to find the m and b of the least square line, then write down equation of least squares line. y=

The least squares fit line for the points (1,-0.3), (2,-0.4), and (3, 0.7) has form = mx + b. First, let f be the sum of the square errors between the predicted values ŷ and y-values for the three points. f(m, b)= Minimize this function to find the m and b of the least square line, then write down equation of least squares line. y=

Trigonometry (MindTap Course List)
Trigonometry (MindTap Course List)
8th Edition
ISBN:9781305652224
Author:Charles P. McKeague, Mark D. Turner
Publisher:Charles P. McKeague, Mark D. Turner
Chapter4: Graphing And Inverse Functions
Section: Chapter Questions
Problem 6GP: If your graphing calculator is capable of computing a least-squares sinusoidal regression model, use...
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The least squares fit line for the points (1,-0.3), (2,-0.4), and (3, 0.7) has form ŷ = mx + b. First, let f be the sum of the square errors between the predicted values ŷ and y-values for the three points. f(m, b) = Minimize this function to find the m and b of the least square line, then write down equation of least squares line. y= Submit Question
Transcribed Image Text:The least squares fit line for the points (1,-0.3), (2,-0.4), and (3, 0.7) has form ŷ = mx + b. First, let f be the sum of the square errors between the predicted values ŷ and y-values for the three points. f(m, b) = Minimize this function to find the m and b of the least square line, then write down equation of least squares line. y= Submit Question
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