On Mon, 5 Mar 2001, Philip Cozzolino wrote in part:

> Yeah, I don't know why I didn't think to compute my eta-squared on the 
> significant trends. As I said, trend analysis is new to me (psych grad
> student) and I just got startled by the results.
> 
> The "significant" 4th and 5th order trends only account for 1% of the
> variance each, so I guess that should tell me something. The linear 
> trend accounts for 44% and the quadratic accounts for 35% more, so 79% 
> of the original 82% omnibus F (this is all practice data).
> 
> I guess, if I am now interpreting this correctly, the quadratic trend 
> is the best solution.
                        Well, now, THAT depends in part on what the 
spectrum of candidate solutions is, doesn't it?  For all that what you 
have is "practice data", I cannot resist asking:  Are the linear & 
quadratic components both positive, and is the overall relationship 
monotonically increasing?  Then, would the context have an interesting 
interpretation if the relationship were exponential?  Does plotting 
log(Y) against X look approximately linear?  If so, especially if your 
six values of X are points in time, Y can be described as exhibiting 
exponential growth over the period observed, and there is a constant 
doubling time (if Y is increasing) or half-life (if Y is decreasing).

The formal equation for exponential growth in Y (with X = time) is
        Y = a*exp(b*X)
and the doubling time is  log(2)/b  (using the natural logarithm); 
if  b  is negative,  Y  is exhibiting exponential decay and this 
quantity is its half-life.

In the intermediate course (ANOVA and MLR), I used to use some old data 
on the mass of chick embryos to illustrate a period of exponential 
growth.  11 time points, 1 day apart, and a very nice exponential fit.  
A polynomial fit required a quartic equation.
                                                -- Don.
 ----------------------------------------------------------------------
 Donald F. Burrill                                    [EMAIL PROTECTED]
 348 Hyde Hall, Plymouth State College,      [EMAIL PROTECTED]
 MSC #29, Plymouth, NH 03264                             (603) 535-2597
 Department of Mathematics, Boston University                [EMAIL PROTECTED]
 111 Cummington Street, room 261, Boston, MA 02215       (617) 353-5288
 184 Nashua Road, Bedford, NH 03110                      (603) 471-7128



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