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How to create a predictive linear regression line for a range of independent variable in base R?
If we want to create a regression line inside scatterplot then lines function can be used with the linear model function lm but if we want to do it for a particular range of independent variable then this range needs to be defined and passed within the lines function. Check out the below example of linear regression model that considers a range of independent variable for prediction.
Consider the below vectors −
Example
strsplit(x6,"[*]")
Output
Defining the range of x −
Range_of_x <-data.frame(x=1:3)
Adding the regression line for the prediction of range of x values −
Example
lines(Range_of_x$x,predict(lm(y~x),Range_of_x))
Updated on: 16-Oct-2020
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