Bivariate means a regression using only two variables
(hence the word 'bi-' which means 'two') [I dont mean to
be patronising]
So multivariate regresion is more than two variables.
Usually Y is the dependent variable and X the independent
variable.
Bivariate example...
Suppose I think a persons height (X variable) is related
to their weight (Y variable). For example, if I think if
I know somebodys height then I can predict their weight
then I can do a bivariate regression of X on Y to find
out the strength of the relationship.
Multivariate Regression
Suppose now I think that knowing both height and age is a
better predicotr of weight. Here height and age are the X
variables and weight the Y variable. Here I have two
predictor (X variables) i.e. height and age. To find out
how they affect weight I need a multivariate regression.
For bivariate regression use simple Excel formulas such
as LINEST, SLOPE, INTERCEPT. An easy way is to plot your
data as a 'Scatter Plot' and then irght click the chart
and select <Trendline>. In the options tab select <Show
Equation On Chart> and this will give you your equation
for prdeicting Y from X in the form Y = mx + c
You cannot do the above for multivariate regression.
Instead you need the <Data Analysis> Add-In. (This is
free and may already be installed). Under <Tools> select
<Data Analysis...> and then <regression>.
By the way, I explained this below in your prior post.
Please recheck.
Also, doing regression is reasonably simple, but I would
advise you did a quick 'Google' and read abit beforehand.
There are pitfalls, and interpreting results is
notoriously difficult. Any standard statistic book will
have regression analysis. Snedecor 'Statistical Methods'
is a great starting point.
Regards
Alex
-----Original Message-----
What is the difference between Bi-Variate and Multi- Variate Regression.
What does LINEST do - a bi-variate or a Multi-variate regression.
How do we do both the kinds in EXCEL.
Thanks.
.