Statistics using R programming - Test of High-leverage Points in Linear Regression using R

• Statistics using R pro...
High leverage points in regression are those observations which have values with regards to combination of independent variables. Detection of high-leverage observations are based on the hat-value. The average hat-value in with regression is p/n, in which p is the number of coefficients in the model, and n is the number of sample. If an observation has hat-value around 2-3 times of the average hat-value, it is suspected at a point with high-leverage.
In R, function hatvalues() from package 'car' can be used to check high-leverage value.
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