The code is quite long because I am running a WLS regression instead of an
OLS regression (due to heteroscedasticity). First, I get mean structure,
then get mean/SD relationship, then improve the variance structure by using
weights proportional to 1/variance.

I am quite sure this is not relevant, so I will only post the rest of the
code. Let me know if you need that part, too. I appreciate the help Uwe!

Best,
T.


m3 = lm(s8_1234_m~ Sex + HisDep + FamHis + ZNeuro + ZEFE + Zwh_1234_m +
  Zale_1234_m+t0s8, weights=W, data=D)


> summary(m3)

Call:
lm(formula = s8_1234_m ~ Sex + HisDep + FamHis + ZNeuro + ZEFE +
    Zwh_1234_m + Zale_1234_m + t0s8, data = D, weights = W)

Residuals:
    Min      1Q  Median      3Q     Max
-1.3691 -0.5453 -0.4104  0.2606  7.0111

Coefficients:
            Estimate Std. Error t value Pr(>|t|)
(Intercept)  0.20961    0.01681  12.472  < 2e-16 ***
Sex         -0.02321    0.01708  -1.359  0.17435
HisDep       0.02544    0.01987   1.281  0.20052
FamHis      -0.02183    0.01798  -1.215  0.22478
ZNeuro       0.07939    0.01007   7.882 6.87e-15 ***
ZEFE         0.02243    0.01056   2.124  0.03385 *
Zwh_1234_m   0.04265    0.00814   5.240 1.88e-07 ***
Zale_1234_m  0.02877    0.00975   2.951  0.00323 **
t0s8         0.38980    0.06504   5.993 2.67e-09 ***
---
Signif. codes:  0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1

Residual standard error: 0.9321 on 1280 degrees of freedom
Multiple R-squared: 0.1282, Adjusted R-squared: 0.1228
F-statistic: 23.54 on 8 and 1280 DF,  p-value: < 2.2e-16

> coef(summary(m1))[,4]
 (Intercept)          Sex       HisDep       FamHis       ZNeuro
ZEFE   Zwh_1234_m  Zale_1234_m
3.042584e-23 2.146371e-01 2.769561e-01 9.988154e-01 5.682278e-13
5.243800e-03 2.599513e-07 3.116738e-02
        t0s8
1.741608e-17



On 12 February 2013 15:07, Uwe Ligges <lig...@statistik.tu-dortmund.de>wrote:

>
>
> On 12.02.2013 14:44, Torvon wrote:
>
>>
>>
>> Thank you, Uwe.
>>
>> summary(m1) gives me p-value estimates of:
>> (Intercept) 2e-16
>> x1 6.9e-15
>> x2 1.9e-07
>> x3 2.7e-09
>>
>> While coef(summary(m1))[,4] gives me:
>> (Intercept) 3.0e-23
>> x1 5.7e-13
>> x2 2.6e-07
>> x3 1.7e-17
>>
>> While the first one confirms my suspicion (-23 instead of -16), the
>> latter one vary drastically (especially x3 from -09 to -17). Why is that?
>>
>
>
> Can you show the complete code and output?
>
> Uwe Ligges
>
>  Thank you!
>> T.
>>
>>
>>

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