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A regression analysis predicts the undrained shear strength (kPa) of a sandy soil based on depth (m) a content (%). Assess the current model and propose improvements if necessary. (need to show TWO one for the coefficients and another for the goodness-of-fit) Use alpha = 5% %3D Shear Water Content Strength (Kra) 14.70 (%) 31.50 Depth (m) 8.90 SUMMARY OUTPUT

A regression analysis predicts the undrained shear strength (kPa) of a sandy soil based on depth (m) a content (%). Assess the current model and propose improvements if necessary. (need to show TWO one for the coefficients and another for the goodness-of-fit) Use alpha = 5% %3D Shear Water Content Strength (Kra) 14.70 (%) 31.50 Depth (m) 8.90 SUMMARY OUTPUT

MATLAB: An Introduction with Applications
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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A regression analysis predicts the undrained shear strength (kPa) of a sandy soil based on depth (m) and water content (%). Assess the current model and propose improvements if necessary. (need to show TWO assessments: one for the coefficients and another for the goodness-of-fit) Use alpha = 5% Shear Water Strength (Kra) 14.70 Content (%) 31.50 Depth (m) 8.90 SUMMARY OUTPUT 48.00 25.60 27.00 36.60 Regression Statistics Multiple R R Square Standard Error 25.90 36.80 10.00 39.10 6.10 0.67 0.45 16.00 16.80 39.20 38.30 6.90 6.90 9.02 14.00 20.70 33.90 7.30 Observations 38.80 33.80 8.40 16.90 27.90 6.50 Standard Coefficients t Stat 0.6210 27.00 33.10 Error P-value 8.00 4.50 0.5473 0.0327 14.2366 Intercept Depth (m) Water Content (%) 22.9252 0.2724 16.00 26.30 0.6652 -0.0102 24.90 37.80 9.90 2.4415 0.6321 -0.0161 0.9875 7.30 12.80 34.60 2.90 36.40 2.00 Edit Format Table
Transcribed Image Text:A regression analysis predicts the undrained shear strength (kPa) of a sandy soil based on depth (m) and water content (%). Assess the current model and propose improvements if necessary. (need to show TWO assessments: one for the coefficients and another for the goodness-of-fit) Use alpha = 5% Shear Water Strength (Kra) 14.70 Content (%) 31.50 Depth (m) 8.90 SUMMARY OUTPUT 48.00 25.60 27.00 36.60 Regression Statistics Multiple R R Square Standard Error 25.90 36.80 10.00 39.10 6.10 0.67 0.45 16.00 16.80 39.20 38.30 6.90 6.90 9.02 14.00 20.70 33.90 7.30 Observations 38.80 33.80 8.40 16.90 27.90 6.50 Standard Coefficients t Stat 0.6210 27.00 33.10 Error P-value 8.00 4.50 0.5473 0.0327 14.2366 Intercept Depth (m) Water Content (%) 22.9252 0.2724 16.00 26.30 0.6652 -0.0102 24.90 37.80 9.90 2.4415 0.6321 -0.0161 0.9875 7.30 12.80 34.60 2.90 36.40 2.00 Edit Format Table
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