The simplest linear regression in R
This article is about simple calculation of parameters of linear regression in R script.
If you are interested in linear regression in Excel, click here.
Let´s start with data uploading. In this example we will observe the dependency of sales on number of adds.
number_of_adds = c(10,15,22,8,14,20,32,27) number_of_sold_products = c(17,27,37,13,25,34,60,49)
Create a data frame from vectors:
Create a linear model from data frame.
mymodel = lm(number_of_sold_products ~ number_of_adds, data = mydata)
Now you can show the model and its parameters:
You can also draw it:
What does the results mean?
- The dots in charts makes quite straight increasing line. This means there is positive linear dependency - the more adds, the bigger sales.
- The parameter -2,377 says in which point this line crosses the y axis.
- The parameter 1,899 describes the steepness of line - the higher, the bigger impact of adds on sales.