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Modeling using R | simple linear regression| correlations, visualizations, fit a model lm() function
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THIS VIDEO STARTS A SERIES OF MODELING IN R VIDEOS!
THIS IS THE FIRST ONE: SIMPLE LINEAR REGRESSION MODEL!
In this video, you will learn all the basics you need for a simple linear regression model. The steps are:
1. get the data
2. check on the data and missing values
3. check on the correlations of x and y (numerically and visually)
4. fit a regression model using lm( )
5. how you can use the fitted model and get the detailed results
6. check on model assumptions
MORE TO COME: MULTIPLE LINEAR REGRESSION, LOGISTIC REGRESSION; POISSON REGRESSION; NEGATIVE BINOMIAL REGRESSION AND MORE~!
THIS IS THE FIRST ONE: SIMPLE LINEAR REGRESSION MODEL!
In this video, you will learn all the basics you need for a simple linear regression model. The steps are:
1. get the data
2. check on the data and missing values
3. check on the correlations of x and y (numerically and visually)
4. fit a regression model using lm( )
5. how you can use the fitted model and get the detailed results
6. check on model assumptions
MORE TO COME: MULTIPLE LINEAR REGRESSION, LOGISTIC REGRESSION; POISSON REGRESSION; NEGATIVE BINOMIAL REGRESSION AND MORE~!
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