how to find simple linear regression equation in r studio

Box Plotīox plot helps us to identify the outliers in both X and Y variables if any. #Scatterplotscatter.smooth(x=cars$speed, y=cars$dist, main='Dist ~ Speed', xlab = 'Speed', ylab = 'Distance' )Ī Scatter Plot here signifies that there is a linearly increasing relationship between the dependent variable (Distance) and the independent variable (Speed). It will help to visualize any relationships between the X variable and the Y variable. The density plot: Helps us to show the probability density function graphically.Distribution of data based on minimum, first quartile, median, third quartile and maximum. Box plot: Helps us to display the distribution of data.A scatter plot: Helps to identify whether there is any type of correlation is present between the two variables.To understand more about data we will use some visualization: Similarly, minimum observation in speed is 4 and distance is 2. In speed variable we have maximum observation is 25 whereas in distance variable the maximum observation is 120. Let’s take the statistical view of the cars dataset.įor this, we will use the Summary() code. Speed is an independent variable and Distance is a dependent variable. Here we can see that our dataset contains two variables Speed and Distance. Let see how the structure of the cars dataset looks like. We will work on the “cars” dataset which comes inbuilt with Rstudio. β1 is an intercept of the regression model.

How to find simple linear regression equation in r studio