Day: November 3, 2019

Linear Regression in R – stepwise linear regression in R

Linear Regression in R – stepwise linear regression in R Linear regression is a statistical method used to understand the relationship between a dependent variable (also known as the outcome or response variable) and one or more independent variables (also known as predictors or explanatory variables). In other words, it is used to predict the …

Linear Regression in R – principal component regression in R

Linear Regression in R – principal component regression in R Linear regression is a statistical method used to understand the relationship between a dependent variable (also known as the outcome or response variable) and one or more independent variables (also known as predictors or explanatory variables). In other words, it is used to predict the …

Linear Regression in R – partial least squares regression in R

Linear Regression in R – partial least squares regression in R Linear Regression is a statistical method used to understand the relationship between a dependent variable and one or more independent variables. However, when the number of independent variables is large, linear regression can become difficult to interpret and may not be able to accurately …

Linear Regression in R – ordinary least squares regression in R

Linear Regression in R – ordinary least squares regression in R Linear regression is a statistical method used to understand the relationship between a dependent variable and one or more independent variables. The goal of linear regression is to find the line of best fit that describes the relationship between the variables. One of the …