Dear R helpers
Suppose I have a following data
y <- c(9.21, 9.51, 9.73, 9.88, 10.12. 10.21)
t <- c(0, 0.25, 1, 3, 6, 12)
I want to find out the polynomial which fits y in terms of t i.e. y = f(t) some
function of t.
e.g. y = bo + b1*t + (b2 * t^2) + (b3 * t^3) + ...... and so on.
In Excel I have defined y as independent variable, then defined t, t^2 and t^3
and using regression I could arrive at the equation
y = 9.505799 + (0.191092 * t) - (0.0225 * t^2) + (0.001245 * t^3)
However I feel this is wrong as I am trying to use linear regression but here I
am having polynomial in t.
I am not that good in stats as well as in mathmatics.
I request you to kindly help me as to how to express the 'y' in polynomial in
terms of t.
Thanking you in advance
Julia
************************************************
Only a man of Worth sees Worth in other men
************************************************
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
