Use R statictical software. Load the ISLR package to get the Auto data set. Fit below...

Use R statictical software. Load the ISLR package to get the Auto data set. Fit below non-linear models to the Auto data set. We will treat horsepower as the predictor and mpg as the response.
• Fit the cubic spline with 3 knots (25th percentile, 50th percentile, and 75th percentile of horsepower)
• Fit the natural spline with 3 knots (25th percentile, 50th percentile, and 75th percentile of horsepower)
• Fit the smoothing spline by choosing optimal lambda with cross-validation. (Hint: cv = TRUE can be used inside smooth.spline() function to choose optimal lambda with cross-validation.)
• Fit the local regression with span = 0.75.
Also, plot the data and add the non-linear fits to the plot

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Code along with output is given above!

orchestra answered 1 year ago

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