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This post is following of above post.
In this post I will do Bootstrap and make confidence inerval of regression.
First, let's check coefficients for static regression model again.
Intercept is 4.1635, avg_gr_us is -0.8626.
Then, I make a custom function to get intercept.
Next, I replicate 10,000 times to get intercept.
Let's see a histogram of intercept_samples.
Now, we can get 95% confidence interval and mean.
Our regression model's intercept is 4.1635. So, bootstrap gets very close intercept value.
We can do the same procedure about slope.
I replicate 10,000 times for get_slope().
Let's see a histogram.
Now, I can get 95% confidence interval and mean value.
Our regression model's slope is -0.8626. So, bootstrap slope is very close to it.
That's it. Thank you!
To read the fist post,
