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Regression analysis excel 2002

 
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Old 30-09-2004, 02:25 PM   #1
Josie
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Default Regression analysis excel 2002


The statistical tools in Excel are not reliable.
Use a statistical package such as S-Plus or do the
calculations by hand if they are relatively small.

Josie

>-----Original Message-----
>Can anybody explain why I get different values for

regression analysis using
>the data analysis under "tools" and when the add

trendline is used. Note
>the intercept is not set to zero.
>
> A B
> 2 3
> 3 4
> 5 7
> 7 11
> 9 13
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
>
> SUMMARY OUTPUT
>
> Regression Statistics
> Multiple R 0.994674781
> R Square 0.989377919
> Adjusted R Square 0.985837225
> Standard Error 0.516004034
> Observations 5
>
> ANOVA
> df SS MS F Significance F
> Regression 1 74.40122 74.40122 279.4305 0.000466115
> Residual 3 0.79878 0.26626
> Total 4 75.2
>
> Coefficients Standard Error t Stat P-value Lower

95% Upper 95% Lower
>95.0% Upper 95.0%
> Intercept -0.231707317 0.522259 -0.44366 0.687333 -

1.893769644
>1.430355 -1.89377 1.430355
> A 1.506097561 0.090098 16.71618 0.000466

1.219364569 1.792831 1.219365
>1.792831
>
>
>

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Old 01-10-2004, 11:38 PM   #2
Jerry W. Lewis
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Default Re: Regression analysis excel 2002

When properly used (see posts by Mike Middleton and Jon Peltier) Excel's
polynomial trendline fit is more accurate than lm() in S-Plus (unless
you explicitly do a poly.transform of an orthogonal polynomial fit) and
most other dedicated statistics packages. Excel's statistical fitting
functions are mathematically exact, but implemented in a way that does
not minimize rounding errors with challenging data sets (the OP's data
set is not challenging). For univariate and bivariate statistics, there
are easy workarounds to handle even challenging data
http://groups.google.com/groups?sel...%40mediaone.net
Alternately, Excel 2003 uses much improved algorithms.

Excel does not and probably never will have the statistical power and
flexibility of a dedicated statistics package, but that does not mean
that it is not appropriate for simple calculations such as the OP was
attempting.

Jerry

Josie wrote:

> The statistical tools in Excel are not reliable.
> Use a statistical package such as S-Plus or do the
> calculations by hand if they are relatively small.
>
> Josie
>
>
>>-----Original Message-----
>>Can anybody explain why I get different values for
>>

> regression analysis using
>
>>the data analysis under "tools" and when the add
>>

> trendline is used. Note
>
>>the intercept is not set to zero.
>>
>> A B
>> 2 3
>> 3 4
>> 5 7
>> 7 11
>> 9 13


....

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