In this recipe, we will see how we can visualize a three-dimensional scatter plot with a fitted regression plane.
Let's recall the airquality
data from the datasets library. In this particular recipe, we will use Ozone
as a dependent variable and Solar.R
and Temp
as independent variables in order to fit the regression model, and then we visualized it.
To produce this plot, we will perform the following steps:
Attach the dataset using the
attach()
function.Create a basic three-dimensional scatter plot and store it in an R object.
Fit the linear regression model, relating
Ozone
as a dependent variable andSolar.R
andTemp
as independent variables and store it as an R object. This regression model estimated the linear regression coefficient of the independent variables in relation to the dependent variable.Plot the fitted regression object with the initial scatter plot.
Here is the R code that performs the preceding...