The problem that I'm running into is that once I import the data file and perform the lm() function I lose one of my levels, I don't understand where it has gone or if I'm just interpreting the output wrong.

the output looks like this:

Code:

```
fit<-lm(TotalPercPaid120~AgeBucket)
> summary(fit)
Call:
lm(formula = TotalPercPaid120 ~ AgeBucket)
Residuals:
Min 1Q Median 3Q Max
-90.496 -0.495 0.264 0.317 45.452
Coefficients:
Estimate Std. Error t value Pr(>|t|)
(Intercept) 0.597990 0.009114 65.611 < 2e-16 ***
AgeBucket25 -0.087959 0.015536 -5.662 1.51e-08 ***
AgeBucket30 -0.104718 0.016645 -6.291 3.17e-10 ***
AgeBucket35 -0.102780 0.016092 -6.387 1.70e-10 ***
AgeBucket40 -0.072274 0.015402 -4.693 2.70e-06 ***
AgeBucket45 -0.039197 0.014904 -2.630 0.00854 **
AgeBucket50 0.033393 0.013828 2.415 0.01574 *
AgeBucket55 0.085377 0.012923 6.607 3.96e-11 ***
AgeBucket60 0.116011 0.012731 9.113 < 2e-16 ***
AgeBucket65 0.162438 0.012688 12.802 < 2e-16 ***
AgeBucket70 0.109460 0.013485 8.117 4.85e-16 ***
AgeBucket75 0.086453 0.014602 5.921 3.22e-09 ***
AgeBucket80 0.121772 0.015791 7.711 1.26e-14 ***
AgeBucket85 0.137719 0.017063 8.071 7.08e-16 ***
AgeBucket90 0.154927 0.021803 7.106 1.21e-12 ***
AgeBucket95 0.163869 0.038299 4.279 1.88e-05 ***
AgeBucketPlus100 0.052145 0.068789 0.758 0.44843
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
Residual standard error: 0.728 on 64449 degrees of freedom
Multiple R-squared: 0.01448, Adjusted R-squared: 0.01423
F-statistic: 59.18 on 16 and 64449 DF, p-value: < 2.2e-16
```

I get the same problem when I perform an anova using the same factors, I lose the first level of both my "AgeBucket" factor and my "Hospital" factor.

Code:

```
fit2<-aov(TotalPercPaid120~AgeBucket+Hospital)
> summary(fit2)
Df Sum Sq Mean Sq F value Pr(>F)
AgeBucket 16 502 31.36 59.24 <2e-16 ***
Hospital 1 39 38.72 73.15 <2e-16 ***
Residuals 64448 34118 0.53
---
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
> coef(fit2)
(Intercept) AgeBucket25 AgeBucket30 AgeBucket35 AgeBucket40 AgeBucket45 AgeBucket50 AgeBucket55 AgeBucket60 AgeBucket65
0.63715260 -0.10455534 -0.11868351 -0.11665114 -0.08450580 -0.05072533 0.02153494 0.07419295 0.10470710 0.15132806
AgeBucket70 AgeBucket75 AgeBucket80 AgeBucket85 AgeBucket90 AgeBucket95 AgeBucketPlus100 HospitalSt Mary
0.09947468 0.07662257 0.11098498 0.12526939 0.14027786 0.15178454 0.03671460 -0.05010209
```