Log In
Search

Skip to content

Posted on February 20, 2023February 20, 2023 by lvislavath

Assignment 2Multiplte linear regression

Leave a Reply Cancel reply

Your email address will not be published. Required fields are marked *

Comment *

Name *

Email *

Save my name, email, and website in this browser for the next time I comment.

Δ

Post navigation

Previous PostPrevious Hello world!

Next PostNext Assigment 1 Crab data

Search

Recent Posts

Clustering Using:PCA, K-Means, and Heirachal Methods
Validation using Cross-Validation methodv
To estimate the standard errors of the coefficients beta0 and beta1 using bootstrap methods, we can follow these steps: Load the data from the Excel file into Python using a library such as pandas. Define a function that takes in the data, randomly samples it with replacement to create a bootstrap sample, fits a linear regression model to the bootstrap sample, and returns the coefficients beta0 and beta1. Use a loop to generate a large number of bootstrap samples (e.g., 1000), and store the coefficients beta0 and beta1 for each sample. Calculate the standard errors of beta0 and beta1 using the bootstrap samples, which can be estimated as the standard deviations of the bootstrapped coefficients
Heart Health Data
College Students Completing A Preliminary Year

Recent Comments

A WordPress Commenter on Hello world!

Archives

April 2023
March 2023
February 2023
January 2023

Categories

Uncategorized

Proudly powered by WordPress