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Fit a linear regression. Show only the first iteration of Gradient descent algorithm using learning rate of 0 . 0 2 for the following data

Fit a linear regression. Show only the first iteration of Gradient descent algorithm using
learning rate of 0.02 for the following data , if the Relative Risk of Coronary Heart
Disease is believed to be only linearly dependent on BMI as well as Diastolic Pressure.
Assume the intercept of the regression model as 5 and the slope of independent
variables as -0.03(negative).
Steps :
1. Identification of the equations y = w0+w1X1+W2X2
2. Cost function & derivative
1. W0`= w01/3* learning rate *(sum (w0+w1X1+W2X2- y))
2. W1`= w11/3* learning rate *(sum (w0+w1X1+W2X2- y)* x1)
3. W2`= w21/3* learning rate *(sum (w0+w1X1+W2X2- y)*x2)
3. Apply the equations

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