## 14.9 Compare the common trend to mean of data

You could just take the average of the 3 sensors assuming they were independent with similar error levels. With some of the sensors being really bad, this would not give a good estimate of the signal. The model allowed us to estimate $$b$$ for each sensor and $$q$$ (variance) thus allowing us to estimate how much to weight each sensor.