Our World Statistics Day conversations have been a great reminder of how much statistics can inform our lives. Do you have an example of how statistics has made a difference in your life? Share your story with the Community!
Choose Language Hide Translation Bar
Highlighted
Level I

## Understanding Effect test in regression

Can anybody show how sum of squares is calculated in effect test of regression.

Seen the help manual but could not find it.

1 ACCEPTED SOLUTION

Accepted Solutions
Highlighted
Staff

## Re: Understanding Effect test in regression

Hi,

Look at the Analysis of Variance for the model. You will see that the total sum of squares is broken down into Model and Error. Model sum of squares can be further broken down into the sum of squares for each effect. This is what you see in the Effect Test report.

Try removing an effect from the model. You should see that the Model sum of squares is reduced by the sum of squares for the effect in the effect test.

So the effect test sum of squares is the difference in the Model sum of sqaures between the model with and without that effect.

I have assumed that you are comfortable with the concept of sum of squares but let me know if you need to know more.

Regards,

Phil

4 REPLIES 4
Highlighted
Level VIII

## Re: Understanding Effect test in regression

@umbreon :
You might find a lot of helpful documentation on your question here (http://www.jmp.com/support/help/Regression_Reports.shtml)

Best
Uday
Highlighted
Level I

## Re: Understanding Effect test in regression

@uday_guntupalli

But I have already gone through the pages from jmp. Apart from the hypothesis about effect test could find the way we carry out the analysis.

Highlighted
Staff

## Re: Understanding Effect test in regression

Hi,

Look at the Analysis of Variance for the model. You will see that the total sum of squares is broken down into Model and Error. Model sum of squares can be further broken down into the sum of squares for each effect. This is what you see in the Effect Test report.

Try removing an effect from the model. You should see that the Model sum of squares is reduced by the sum of squares for the effect in the effect test.

So the effect test sum of squares is the difference in the Model sum of sqaures between the model with and without that effect.

I have assumed that you are comfortable with the concept of sum of squares but let me know if you need to know more.

Regards,

Phil

Highlighted
Level I

## Re: Understanding Effect test in regression

thanks....that exactly what i needed.
Article Labels

There are no labels assigned to this post.