Linear Regression and Linear Models

Course Feature

Cost

Free
Provider

Youtube
Certificate

Paid Certification
Language

English
Start Date

On-Demand
Learners

No Information
Duration

2.00
Instructor

/

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2.0

3 Ratings

This course is perfect for anyone looking to learn about linear regression and linear models. StatQuest provides an in-depth look at fitting a line to data, least squares, linear regression, multiple regression, R-squared, P Values, T-tests, and ANOVA. With clear explanations and examples, this course is the perfect way to gain a better understanding of linear regression and linear models. Click now to get started!

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Course Overview

❗The content presented here is sourced directly from Youtube platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [August 18th, 2023]

Skills and Knowledge:
This course will provide students with the skills and knowledge to understand and apply linear regression and linear models. Students will learn how to fit a line to data using least squares, as well as how to use multiple regression. They will also gain an understanding of R-squared, P Values, T-tests, and ANOVA.
Professional Growth:
This course on Linear Regression and Linear Models provides a comprehensive overview of the concepts and techniques related to fitting a line to data, also known as least squares and linear regression. It also covers topics such as multiple regression, R-squared, P Values, T-tests, and ANOVA. By understanding these concepts and techniques, professionals can gain a better understanding of how to analyze data and make informed decisions. This course can help professionals to develop their skills in data analysis and decision-making, which can lead to professional growth.
Further Education:
This course on Linear Regression and Linear Models is suitable for preparing further education. It covers topics such as fitting a line to data, multiple regression, R-squared, P Values, T-tests, and ANOVA. These topics are essential for understanding the fundamentals of linear regression and linear models, which are important for further education.

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