# Can someone help me with this problem - 1

Discussion in 'Scientific Statistics Math' started by Stacey, Aug 25, 2006.

1. ### StaceyGuest

Listed below is the net sales in \$ million for Home Depot, Inc. and its
subsidiaries from 1993 to 2002

Year Net Sales
1993 \$ 9,239
1994 12,477
1995 15,470
1996 19,535
1997 24,156
1998 30,219
1999 38,434
2000 45,738
2001 53,553
2002 58,247

Determine the least squares equation. On the basis of this information,
what are the estimated sales for 2005?

Stacey, Aug 25, 2006

2. ### Bruce WeaverGuest

This looks like more homework. People will be more willing to help if
you show what you've tried so far rather than just posting the question
and asking for an answer. So, what have you tried so far?

Bruce Weaver, Aug 25, 2006

3. ### StaceyGuest

I don't even know where to begin....I have tried reading the chapter,
ALEKS and just searching for how to do it online but can't figure it
out...if someone can show me an example maybe I can try it that way.

Stacey, Aug 25, 2006
4. ### Bruce WeaverGuest

Who (or what) is ALEKS?

Here's an example with Lean Body Mass in place of Year, and Muscle
Strength in place of Net Sales.

http://www.tufts.edu/~gdallal/slr.htm

Be sure to read the comments about interpolation and extrapolation near
the bottom.

Bruce Weaver, Aug 25, 2006
5. ### Robert DodierGuest

Try thinking about this problem aside from math or number
crunching. If someone presented you with these numbers and
If someone (e.g. your boss) asked you to make a guess about
sales for 2007 (or whatever), what would you say?

Statistics is only a formalization of the kinds of reasoning that
people do every day, without the benefit of higher education.
Without statistics, you could trace (with a pencil or even your
finger) a line or curve through the data, and make a guesstimate
of future sales in that way.
Linear regression is just a formalization (and not the only one)
of that guesstimation.

I know this commentary won't help you finish your homework
for tomorrow, but I think it could help in the long run.

FWIW
Robert Dodier

Robert Dodier, Aug 26, 2006