How Do You Relate Fitted Curve to Mean, Standard Deviation, and Standard Error?

[coffeem]

Homework Statement

Given:

clear
n = 100;
x = 1:n;
err = randn(1,n);
mean(err);
std(err);
y = x + err;
cftool

Q - Relate your fitted to the data in y to the mean, S and SE values. You should also compare the fit results to the 95% point on the curve of the integral of the normal distribution.


2. The attempt at a solution

I did the following:

Mean = mean(y)

Standard_Deviation = std(y)

Standard_Error = ((Standard_Deviation).^2)./sqrt(100)


But in all honestly don't know what I have to do. I mean how do I relate the data? I think the problem here is that I do not understand the question. Thanks

 

[coffeem]

hey does anyone have any ideas for this? i am still stuck... thanks