Regression Models
$49
ENROLL NOWCourse Overview
What You'll Learn
- Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions.
- Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit.
- This course covers regression analysis, least squares and inference using regression models.
Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing.
Course FAQs
Is this an accredited online course?
Accreditation for 'Regression Models' is determined by the provider, Johns Hopkins University. For online college courses or degree programs, we strongly recommend you verify the accreditation status directly on the provider's website to ensure it meets your requirements.
Can this course be used for continuing education credits?
Many of the courses listed on our platform are suitable for professional continuing education. However, acceptance for credit varies by state and licensing board. Please confirm with your board and {course.provider} that this specific course qualifies.
How do I enroll in this online school program?
To enroll, click the 'ENROLL NOW' button on this page. You will be taken to the official page for 'Regression Models' on the Johns Hopkins University online class platform, where you can complete your registration.
