On 08-Sep-05 John Sorkin wrote:
I have a batch of data in each line of data contains three values,
calcium score, age, and sex. I would like to predict calcium scores
as a function of age and sex, i.e. calcium=f(age,sex). Unfortunately
the calcium scorers have a very ugly distribution. There
John Sorkin wrote:
I have a batch of data in each line of data contains three values,
calcium score, age, and sex. I would like to predict calcium scores as a
function of age and sex, i.e. calcium=f(age,sex). Unfortunately the
calcium scorers have a very ugly distribution. There are multiple
On Thu, 8 Sep 2005, John Sorkin wrote:
I have a batch of data in each line of data contains three values,
calcium score, age, and sex. I would like to predict calcium scores as a
function of age and sex, i.e. calcium=f(age,sex). Unfortunately the
calcium scorers have a very ugly distribution.
John:
1. As George Box long ago emphasized and proved, normality is **NOT** that
important in regression, certainly not for estimation and not even for
inference in balanced designs. Independence of the observations is far more
important.
2. That said, it sounds like what you have here is a
