Linear Regression in R-Series 5 faq

instructor Instructor: MarinStatsLectures-R Programming & Statistics instructor-icon
duration Duration: 2.00 duration-icon

In this series of tutorials, MarinStatsLectures covers the basics of linear regression in R. Tutorial 5.1 covers simple linear regression, 5.2 covers checking linear regression assumptions, and 5.3 covers multiple linear regression. The tutorials provide an overview of the linear regression process, from data preparation to model fitting and interpretation.

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Course Feature Course Overview Course Provider Discussion and Reviews
Go to class

Course Feature

costCost:

Free

providerProvider:

Youtube

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

On-Demand

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 [February 21st, 2023]

What does this course tell?
(Please note that the following overview content is from the original platform)


Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures.
Checking Linear Regression Assumptions in R | R Tutorial 5.2 | MarinStatsLectures.
Multiple Linear Regression in R | R Tutorial 5.3 | MarinStatsLectures.
Changing Numeric Variable to Categorical in R | R Tutorial 5.4 | MarinStatsLectures.
Dummy Variables or Indicator Variables in R | R Tutorial 5.5 | MarinStatsLectures.
Change Reference (Baseline) Category in Regression with R | R Tutorial 5.6 | MarinStatsLectures.
Including Variables/ Factors in Regression with R, Part I | R Tutorial 5.7 | MarinStatsLectures.
Including Variables/ Factors in Regression with R, Part II | R Tutorial 5.8 | MarinStatsLectures.
Multiple Linear Regression with Interaction in R | R Tutorial 5.9 | MarinStatsLectures.
Interpreting Interaction in Linear Regression with R | R Tutorial 5.10 | MarinStatsLectures.
Partial F-Test for Variable Selection in Linear Regression | R Tutorial 5.11| MarinStatsLectures.
Polynomial Regression in R | R Tutorial 5.12 | MarinStatsLectures.


We consider the value of this course from multiple aspects, and finally summarize it for you from three aspects: personal skills, career development, and further study:
(Kindly be aware that our content is optimized by AI tools while also undergoing moderation carefully from our editorial staff.)
What skills and knowledge will you acquire during this course?
Completing the Linear Regression in R-Series 5 course provides learners with the skills and knowledge necessary to effectively use linear regression in their own data analysis projects. Learners will gain an understanding of how to check linear regression assumptions, create multiple linear regression models, convert numeric variables to categorical variables, create dummy variables, change the reference category in regression, include variables/factors in regression, create multiple linear regression models with interaction, interpret interaction in linear regression, use partial F-test for variable selection, and create polynomial regression models. These skills and knowledge can be applied to various career paths, such as Data Scientist, Business Analyst, Machine Learning Engineer, and Research Scientist.

How does this course contribute to professional growth?
Completing the Linear Regression in R-Series 5 course provides learners with the knowledge and skills to apply linear regression in R. This course contributes to professional growth by equipping learners with the skills and knowledge necessary to effectively use linear regression in their own data analysis projects. This knowledge can be used to check linear regression assumptions, create multiple linear regression models, convert numeric variables to categorical variables, create dummy variables, change the reference category in regression, include variables/factors in regression, create multiple linear regression models with interaction, interpret interaction in linear regression, use partial F-test for variable selection, and create polynomial regression models. This course can help learners pursue a career in data science, business analysis, machine learning engineering, and research science, all of which are in high demand and have a positive job outlook.

Is this course suitable for preparing further education?
This course is suitable for preparing further education, as the knowledge and skills gained can be applied to a variety of career paths, such as Data Scientist, Business Analyst, Machine Learning Engineer, and Research Scientist.

Course Provider

Provider Youtube's Stats at AZClass

Over 100+ Best Educational YouTube Channels in 2023.
Best educational YouTube channels for college students, including Crash Course, Khan Academy, etc.
AZ Class hope that this free Youtube course can help your Linear Regression skills no matter in career or in further education. Even if you are only slightly interested, you can take Linear Regression in R-Series 5 course with confidence!

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faq FAQ for Linear Regression Courses

Q1: Does the course offer certificates upon completion?

Yes, this course offers a free certificate. AZ Class have already checked the course certification options for you. Access the class for more details.

Q2: How do I contact your customer support team for more information?

If you have questions about the course content or need help, you can contact us through "Contact Us" at the bottom of the page.

Q3: Can I take this course for free?

Yes, this is a free course offered by Youtube, please click the "go to class" button to access more details.

Q4: How many people have enrolled in this course?

So far, a total of 0 people have participated in this course. The duration of this course is 2.00 hour(s). Please arrange it according to your own time.

Q5: How Do I Enroll in This Course?

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