Tire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of thesame make and model. The extended data table (left) and fit model report (right) are based on aquadratic model Write out the estimated quadratic polynomial regression model. Part 2. Polynomial RegressionTire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of thesame make and model. The extended data table (left) and fit model report (right) are based on aquadratic model.123+5674Lower 95% Upper 95%Mileage Pressure Pressure^2 Mean Mileage Mean Mileage25.2230.6431.7734.9835.7834.5630.9123.93293236383733263031ललै लै ल 38323334353690096110241089115612251296Summary of FitRSquareRSquare AdjRoot Mean Square ErrorMean of ResponseObservations (or Sum Wgts)35.09 Analysis of Variance38.3039.3637.8734.2329.351.118034337Sum ofDF2Squares Mean Square111.000005.000006 116.0000055.50001.25004SourceModelErrorC. TotalParameter EstimatesF Ratio44.4000Prob > F0.0019"TermEstimate Std Error t Ratio Probolti-1199.929 132.5406-9.05 0.0008*Intercept75.214286 8.053948PressurePressure^2 -1.142857 0.1219889.34 0.0007"-9.37 0.0007*

The general quadratic polynomial regression model is ŷ=b0+b1x+b2x2.

Tire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of the same make and model. The extended data table (left) and fit model report (right) are based on a quadratic model Write out the estimated quadratic polynomial regression model.

Tire pressure (psi) and mileage (mpg) were recorded for a random sample of seven cars of the same make and model. The extended data table (left) and fit model report (right) are based on a quadratic model Write out the estimated quadratic polynomial regression model.

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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