Displaying 1 result from an estimated 1 matches for "rdayml".
2009 Aug 13
4
lm coefficients output confusing
...0.7931034
71 7 0.7560976
72 7 0.8684211
73 8 0.6727273
74 8 0.6000000
75 8 0.8333333
76 8 0.8181818
77 8 0.7818182
78 8 0.7647059
79 8 0.5818182
80 8 0.5918367
81 8 0.7450980
82 8 0.7818182
83 8 0.8048780
84 8 0.8684211
The script i'm using and output is as follows:
> anova(rdayml <- lm(R ~ HR, data=rdata2, na.action=na.exclude))
Analysis of Variance Table
Response: R
Df Sum Sq Mean Sq F value Pr(>F)
HR 6 0.25992 0.04332 3.1762 0.00774 **
Residuals 77 1.05021 0.01364
---
Signif. codes: 0 ?***? 0.001 ?**? 0.01 ?*? 0.05 ?.? 0...