I need help with part b the null and alternative hypotheses for both H0 and H1 please The accompanying information is a set of coded experimental data on the compressive strength of a particular alloy at various values of the concentration of some additive. Complete parts (a) and (b) below.Click the icon to view the compressive strength data.(a) Estimate the quadratic regression equation µyx = ßo +ß₁×₁ +ß₂×².ŷ= 19.19 + ( 0.994) ×₁ + ( − 0.020 ) ×³₁(Round the constant to two decimal places as needed. Round all other constants and coefficients to three decimal places as needed.)(b) Test for lack of fit of the model.State the null and alternative hypotheses.HoH₁An exponential model would fit the data better than a quadratic model.There is no lack of fit for the model.There is a lack of fit for the model.A linear model would fit the data better than a quadratic model.A cubic model would fit the data better than a quadratic model. Bearing DataConcentration, Compressive Strength,x10.0y25.310.027.510.028.615.029.615.031.115.027.820.031.120.032.620.029.725.031.725.030.125.032.430.029.430.030.630.032.8

Step 1: Identify the null and alternative hypothesisThe null hypothesis should always claim that…

Answered: The accompanying information is a set…

Algebra & Trigonometry with Analytic Geometry

13th Edition

ISBN:9781133382119

Author:Swokowski

Publisher:Swokowski

Chapter7: Analytic Trigonometry

Section7.6: The Inverse Trigonometric Functions

Problem 94E

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