A study was performed to investigate the shear strength of soil (y) as it related to depthin feet (x1) and moisture content (x). Ten observations were collected, and the followingsummary quantities obtained: n = 10, Exn = 223, Ex2 = 553, Ey, = 1,916, Ex = 5,200.9, E = 31,729,Ex*2 = 12,352, Ex„y; = 43,550.8, Ex2Y; = 104,736.8, and E} = 371,595.6. Set up the least squares normalequations for the model y = B, + B,x1 + Bx2 + e.n 3Dа.noneо ъ. у-171.054+3-714(х1)-1.126 (х2)O c. y=179.834+4.427(x1)-2.221(x2)O d. y=163.021+3.273(x1)-1.621(x2)

Answered: Image /qna-images/answer/a3692c77-e844-4155-afb7-9eacb0960cb8.jpg

Answered: A study was performed to investigate…

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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Wrinkle recovery angle and tensile strength are the two most important characteristics for evaluating the performance of crosslinked cotton fabric. An increase in the degree of crosslinking, as determined by ester carboxyl band absorbance, improves the wrinkle resistance of the fabric (at the expense of reducing mechanical strength). The accompanying data on x = absorbance and y = wrinkle resistance angle was read from a graph in the paper "Predicting the Performance of Durable Press Finished Cotton Fabric with Infrared Spectroscopy".† x 0.115 0.126 0.183 0.246 0.282 0.344 0.355 0.452 0.491 0.554 0.651 y 334 342 355 363 365 372 381 392 400 412 420 Here is regression output from Minitab: Predictor Constant absorb S = 3.60498 Coef 321.878 156.711 SOURCE Regression Residual Error Total SE Coef 2.483 6.464 R-Sq = 98.5% DF 1 9 10 SS 7639.0 117.0 7756.0 T 129.64 24.24 0.000 0.000 R-Sq (adj) = 98.3% MS 7639.0 13.0 F P 587.81 (a) Does the simple linear regression model appear to be…
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