Linear Regression Concept and with R Video Series
This video series covers the concept of linear regression and its implementation in R. It begins with an overview of simple linear regression, followed by a tutorial on how to use R to perform linear regression. The series then explains how to check linear regression assumptions in R. Finally, it provides an example of linear regression in R. This series is a great resource for anyone looking to learn more about linear regression and its implementation in R. ▼
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Course Feature
Cost:
Free
Provider:
Youtube
Certificate:
Paid Certification
Language:
English
Start 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 Concept | Statistics Tutorial #32 | MarinStatsLectures.
Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures.
Checking Linear Regression Assumptions in R | R Tutorial 5.2 | MarinStatsLectures.
Linearity and Nonlinearity in Linear Regression | Statistics Tutorial #33 | 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.
R Squared or Coefficient of Determination | Statistics Tutorial | 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.
Simple Linear Regression | Statistics for Applied Epidemiology | Tutorial 1.
Multiple Linear Regression | Statistics for Applied Epidemiology | Tutorial 2.
Multiple Linear Regression II | Statistics for Applied Epidemiology | Tutorial 3.
Multiple Linear Regression III | Statistics for Applied Epidemiology | Tutorial 4.
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.)
This Linear Regression Concept and with R Video Series is an ideal course for learners who want to gain a comprehensive understanding of linear regression and its applications. It covers the fundamentals of linear regression, including simple and multiple linear regression, as well as more advanced topics such as dummy variables, interaction terms, and polynomial regression. The course also provides an introduction to R programming, which is essential for performing regression analysis. Learners will gain the skills to develop and interpret statistical models, make predictions, and analyze data. They will also learn how to use R to create visualizations and interpret the results of their regression models. This course is suitable for learners of all levels, from beginners to advanced users.
[Applications]
After completing the Linear Regression Concept and with R Video Series, it is recommended that learners apply their knowledge by using the concepts to analyze data sets. Learners can use the techniques learned in the course to create linear regression models, check assumptions, and interpret the results. Additionally, learners can use the course to practice creating dummy variables, changing reference categories, and selecting variables for regression models. Finally, learners can use the course to explore polynomial regression and multiple linear regression with interaction.
[Career Paths]
1. Data Scientist: Data Scientists use linear regression to analyze large datasets and uncover trends and patterns. They use this information to develop predictive models and create data-driven solutions. Developing trends in this field include the use of machine learning and artificial intelligence to automate data analysis and improve accuracy.
2. Business Analyst: Business Analysts use linear regression to identify relationships between different variables and make decisions about how to optimize business operations. Developing trends in this field include the use of predictive analytics to anticipate customer needs and develop strategies to increase profits.
3. Statistician: Statisticians use linear regression to analyze data and draw conclusions about the underlying relationships between variables. Developing trends in this field include the use of big data and cloud computing to analyze larger datasets and uncover more complex relationships.
Course Provider
Provider Youtube's Stats at AZClass
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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 Concept and with R Video Series course with confidence!
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