Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R? andadjusted r2.LinearQuadraticCubicIntercept31.0827.4636.82-0.111.47-5.84x2NA-0.131.30x3NANA-0.08R20.0030.0370.115Adjusted R?-0.023-0.0150.041a. Predict y for x= 3 and 5 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and finalanswers to 2 decimal places.)Linear ŷQuadratic ŷCubic ýx = 3x = 5

For linear model, the equation is given by : y^=a+bxy^=31.08-0.11x For quadratic model, the equation…

Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R² and adjusted r2. Linear Quadratic Cubic Intercept 31.08 27.46 36.82 -0.11 1.47 -5.84 x2 x3 NA -0.13 1.30 NA NA -0.08 0.003 0.037 0.115 Adjusted R? -0.023 -0.015 0.041 a. Predict y for x= 3 and 5 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Linear ý Quadratic ý Cubic ý x = 3 x = 5

Consider the following sample regressions for the linear, the quadratic, and the cubic models along with their respective R² and adjusted r2. Linear Quadratic Cubic Intercept 31.08 27.46 36.82 -0.11 1.47 -5.84 x2 x3 NA -0.13 1.30 NA NA -0.08 0.003 0.037 0.115 Adjusted R? -0.023 -0.015 0.041 a. Predict y for x= 3 and 5 with each of the estimated models. (Round intermediate calculations to at least 4 decimal places and final answers to 2 decimal places.) Linear ý Quadratic ý Cubic ý x = 3 x = 5

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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