[R] polynomial regression

[Jeff Newmiller]

This looks like homework. There is a clearly-stated no-homework policy in the Posting Guide.

Some hints though (typing a question mark before a function name in the console shows the help file for that function):

- Generate some x values (?seq)
- Calculate y values using x
- plot x against y (?plot)
- fitting can be done many ways, but the most common is using the ?lm function to fit and the ?predict.lm function to obtain points on the fitted equation.


On February 21, 2020 7:18:23 AM PST, Subhashini Rao Beerisetty <subhashbeerisetty using gmail.com> wrote:
>[ Please keep me in CC as I'm not subscribed to the list]
>
>Hi all,
>
>I’m new to R programming.
>
>Can someone help me , how to plot the “y” for the following equations
>in “R”?
>
>𝑦= 𝑒−5(𝑥−0.3)2+0.5 𝑒−100(𝑥−0.5)2+0.5 𝑒−100(𝑥−0.75)2
>
>𝑦=28−𝑥+10𝑥4−5𝑥9+6𝑥11
>
>Also, I want to extract 50 random points from the function and add
>normally distributed noise to the data points to get “noisy data”,
>𝑦̂.  How to achieve this?
>
>Is there a function to fit polynomial of degree 5 to the noisy data?
>
>
>Thanks,
>
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-- 
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