A survey estimates average electricity consumption ($\bar{y}_{sample} = 850$ kWh). The known population mean for a correlated auxiliary variable (degree-days) is $\bar{X}_{pop} = 2000$, while $\bar{x}_{sample} = 1950$. Using a calibration estimator: $\bar{y}_{cal} = \bar{y}_{sample} + \beta(\bar{X}_{pop} - \bar{x}_{sample})$

with regression coefficient $\beta = 0.40$ (electricity vs. degree-days), what is the calibrated estimate?