Inference for Linear Regression in R

Mathematics and Statistics

Short Description

In this course you'll learn how to perform inference using linear models.

Long Description

In this course, you will build upon your knowledge of statistical inference and linear models to explore their integration. The focus will be on understanding how different samples can lead to distinct linear models, with the ultimate goal of comprehending the underlying population model. By analyzing the estimated linear model, you will acquire the skills to generate interval estimates for the effect size and determine the significance of the effect. Additionally, you will compare prediction intervals for the response variable with estimates of the average response. Throughout the course, you will enhance your proficiency in utilizing the dplyr and ggplot2 packages, as well as gain familiarity with the broom package for tidying models. These three packages are essential tools in the field of data science.

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Course Details

Duration: 4 hours
Format: Short Course
Price: USD39.00
Course Link

DataCamp

DataCamp is an online learning platform that offers interactive courses and tutorials for data science and analytics. It provides a wide range of courses covering topics such as Python, R, SQL, machine learning, data visualization, and more. The platform offers a hands-on learning experience through coding exercises and projects, allowing users to practice and apply their skills in real-world scenarios. DataCamp also offers a personalized learning experience with adaptive learning technology that adjusts the course content based on the user's skill level and progress. It is widely used by individuals, professionals, and organizations to enhance their data science skills and stay up-to-date with the latest trends and technologies in the field.

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