Simple Linear Regression in R | R Tutorial 5.1 | MarinStatsLectures HD

Simple Linear Regression in R: Learn how to fit a simple linear regression model with R, produce summaries and ANOVA table; To learn more about Linear Regression Concept and with R (https://bit.ly/2z8fXg1); For the free Practice Dataset: (https://bit.ly/2rOfgEJ) More Statistics and R Programming Tutorials (https://goo.gl/4vDQzT) ▶︎▶︎Like to support us? You can Donate https://statslectures.com/support-us or Share our Videos with all your friends! How to fit a Linear Regression Model in R, Produce Summaries and ANOVA table for it. ◼︎ What to Expect in this R video Tutorial: ► learn when to use a regression model, and how to use the “lm” function in R to fit a linear regression model for your data ► learn to produce summaries for your regression model using “summary” function in R statistics software; these summaries can include intercept, test statistic, p value, and estimates of the slope for your linear regression model ► become familiar with the Residual Error: a measure of the variation of observations in regression line ► learn to ask R programming software for the attributes of the simple linear regression model using "attributes" function, extract certain attributes from the regression model using the dollar sign ($