non-technical reading on basic regression

[Dr. Ivan A. de la Rosa]

Does anyone know of a non-technical reading on regression (for example Ordinary least square regression)?  

Thanks

[Rich Ulrich]

Jacob Cohen's popular textbook is popular for a reason.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences [Jacob Cohen,Patricia Cohen, ... ]

--
Rich Ulrich

---

Date: Tue, 28 Aug 2012 20:22:43 -0600
From: [hidden email]
Subject: non-technical reading on basic regression
To: [hidden email]

Does anyone know of a non-technical reading on regression (for example Ordinary least square regression)?  

Thanks

[Mark Miller]

Another very clear treatment can be found in
Friedman, Pisani, & Purves  "Statistics, 3rd Edition"
in Part III "Correlation & Regression"

... Mark Miller

On 2012-08-28 8:47 PM, Rich Ulrich wrote:

Jacob Cohen's popular textbook is popular for a reason.

Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences [Jacob Cohen,Patricia Cohen, ... ]

--
Rich Ulrich

---

Date: Tue, 28 Aug 2012 20:22:43 -0600
From: [hidden email]
Subject: non-technical reading on basic regression
To: [hidden email]

Does anyone know of a non-technical reading on regression (for example Ordinary least square regression)?  

Thanks

[Matthias Spörrle]

you might also want to look at

http://psycnet.apa.org/index.cfm?fa=buy.optionToBuy&id=2008-11210-008
http://rcb.sagepub.com/content/49/4/223.short

HTH
Matthias



On Wed, Aug 29, 2012 at 6:19 AM, Mark Miller <[hidden email]> wrote:

> Another very clear treatment can be found in
> Friedman, Pisani, & Purves  "Statistics, 3rd Edition"
> in Part III "Correlation & Regression"
>
> ... Mark Miller
>
> On 2012-08-28 8:47 PM, Rich Ulrich wrote:
>
> Jacob Cohen's popular textbook is popular for a reason.
>
> Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences
> [Jacob Cohen,Patricia Cohen, ... ]
>
> --
> Rich Ulrich
>
> ________________________________
> Date: Tue, 28 Aug 2012 20:22:43 -0600
> From: [hidden email]
> Subject: non-technical reading on basic regression
> To: [hidden email]
>
> Does anyone know of a non-technical reading on regression (for example
> Ordinary least square regression)?
>
> Thanks
>
>

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[Kornbrot, Diana]

Wikipedia is good, in my view
http://en.wikipedia.org/wiki/Linear_regression_model#Assumptions
Best
Diana


On 29/08/2012 05:19, "Mark Miller" <mdhmiller@...> wrote:

  Another very clear treatment can be found in
 Friedman, Pisani, & Purves  "Statistics, 3rd Edition"
 in Part III "Correlation & Regression"
 
 ... Mark Miller
 
 
On 2012-08-28 8:47 PM, Rich Ulrich wrote:
 
 

 
 Jacob Cohen's popular textbook is popular for a reason.
 
 Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences [Jacob Cohen,Patricia Cohen, ... ]
 
 --
 Rich Ulrich
 
 
 

---

Date: Tue, 28 Aug 2012 20:22:43 -0600
 From: lilo@...
 Subject: non-technical reading on basic regression
 To: SPSSX-L@...
 
 Does anyone know of a non-technical reading on regression (for example Ordinary least square regression)?   

 
 
Thanks
 
 
 

 

---

Emeritus Professor Diana Kornbrot
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[Bruce Weaver]

Technicality is in the eye of the beholder.  

The chapter on regression in The Cartoon Guide to Statistics is very good.  You could also check to see if Jerry Dallal's notes (http://www.jerrydallal.com/LHSP/LHSP.htm) are at an appropriate level.

HTH.

Dr. Ivan A. de la Rosa wrote

Does anyone know of a non-technical reading on regression (for example
Ordinary least square regression)?

Thanks

[Valerie Villella]

Thank you for your email.

I am on vacation until Tuesday September 4 and will not be accessing my emails during this time. I will respond to your message upon my return to the office. Should you require assistance during my absence please contact Nina Zivkovic at [hidden email] or at 905-851-8821 ext. 246.

Have a wonderful day.

Valerie Villella
Education Coordinator &
Policy and Program Analyst

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[Zuluaga, Juan]

Very tough question.

Some students may benefit from a geometric approach, rather than the algebraic black box.

Dunteman, G. H. (1984). Introduction to linear models. Beverly Hills: Sage Publications.

Saville, D. J., Wood, G. R. (1996). Statistical methods: a geometric primer. New York: Springer.

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