random time series and regression models

Hi. I need to generate 2 time series. the first one with 7000 numbers and the second with 20000. The first one has to be normally distributed and the second log-normally. How do you do that?

After creating that, I have to get a regression model for both time series.

Please help!

[Adam Danz]

Are you talking about random numbers?

[ingCr]

Yes, just random numbers that have to resemble a time series and then use those numbers and create a regression model.

Answer 1

[Adam Danz]

You can use r = normrnd(mu,sigma,1,100) to generate 100 random numbers from a Gaussian distribution with mean mu and standard deviation sigma.

Likewise, see r = lognrnd(mu,sigma,1,100).

See documentation on regression for the next step.