1. Perform regression analysis based on linear and logarithmic regression models for normal stress data (x-axis) and peak shear stress (y-axis). Show the calculation in tabular form. Also determine...

1. Perform regression analysis based on linear and logarithmic regression models for normal stress data (x-axis) and peak shear stress (y-axis). Show the calculation in tabular form. Also determine the value of the correlation coefficient of the two data

2. Determine the best regression between the two models. Show the calculation in tabular form.

o' (kN/m²) as<br>t (kN/m?) as<br>independent variable<br>dependent variable<br>75.0<br>75.7<br>100.0<br>92.6<br>150.0<br>115.2<br>200.0<br>143<br>220.0<br>154.4<br>250.0<br>165<br>265.0<br>170.8<br>270.0<br>179.2<br>280.0<br>182.6<br>290.0<br>190.2<br>

Extracted text: o' (kN/m²) as t (kN/m?) as independent variable dependent variable 75.0 75.7 100.0 92.6 150.0 115.2 200.0 143 220.0 154.4 250.0 165 265.0 170.8 270.0 179.2 280.0 182.6 290.0 190.2

Jun 10, 2022

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1. Perform regression analysis based on linear and logarithmic regression models for normal stress data (x-axis) and peak shear stress (y-axis). Show the calculation in tabular form. Also determine...

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