Dear mixed modellers,

I'm a bit confused and that's why I'm asking. I came across with sthng
similar on the listbut couldn't actually fimd the answer there... But to the
point - there's a model with several fixed effects, some of them with 2
levels (eg. Age). When I look at the regression-like output there seems to
be no age-relared effect - and in the aov table (summary.aov() or anova())
this effect is significant. Are these two tests fundamentally different and
if so - which one givesthe right answer? Below you'll find both outputs

> Lmount1 <- lm(Lmount~age*status*morph, data=age)
> summary(Lmount1)

Call:
lm(formula = Lmount ~ age * status * morph, data = age)

Residuals:
    Min      1Q  Median      3Q     Max
-3337.0  -868.6  -137.1   708.8  6910.0

Coefficients:
                    Estimate Std. Error t value Pr(>|t|)
(Intercept)          2651.16     313.49   8.457 1.53e-13 ***
ageY                 -659.13     414.71  -1.589   0.1149
status1              -182.41     224.42  -0.813   0.4181
status2               650.43     379.11   1.716   0.0891 .
morphS                -96.31     384.30  -0.251   0.8026
ageY:status1         -216.24     301.50  -0.717   0.4748
ageY:status2         -451.82     493.18  -0.916   0.3617
ageY:morphS          -295.03     527.77  -0.559   0.5773
status1:morphS       -248.81     279.64  -0.890   0.3756
status2:morphS       -620.20     456.58  -1.358   0.1772
ageY:status1:morphS   525.32     385.36   1.363   0.1757
ageY:status2:morphS   324.96     624.60   0.520   0.6040
---
Signif. codes:  0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1

Residual standard error: 1363 on 107 degrees of freedom
  (30 observations deleted due to missingness)
Multiple R-squared: 0.2042,     Adjusted R-squared: 0.1223
F-statistic: 2.495 on 11 and 107 DF,  p-value: 0.007876

> summary.aov(Lmount1)
                  Df    Sum Sq  Mean Sq F value   Pr(>F)
age                1  20619061 20619061 11.1010 0.001185 **
status             2  19083130  9541565  5.1370 0.007408 **
morph              1   1503500  1503500  0.8095 0.370299
age:status         2   1480585   740293  0.3986 0.672276
age:morph          1    741135   741135  0.3990 0.528945
status:morph       2   3407887  1703943  0.9174 0.402684
age:status:morph   2   4148964  2074482  1.1169 0.331087
Residuals        107 198742119  1857403
---
Signif. codes:  0 �***� 0.001 �**� 0.01 �*� 0.05 �.� 0.1 � � 1
30 observations deleted due to missingness

Cheers,
Sz.

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