Suppose you have two forecasting models: Model 1 and Model 2. The prediction of Model 1 is:

prediction_1 <- c(21.6 , 21.4 , 21.9 , 22.8 , 19.4 , 17.8 , 13.8 , 24.5 , 22.5 , 18.1 , 15.5 , 16.5 , 16.9 , 15.7 , 9.7)

The prediction of Model 2 is:

prediction_2 <- c(20.2 , 21.3 , 23.3 , 20.9 , 21.4 , 21.1 , 13.5 , 23.2 , 20.8 , 20.9 , 18.9 , 16 , 18 , 15.6 , 11.8)

The actual values are:

actual <- c(21 , 21 , 22.8 , 21.4 , 18.7 , 18.1 , 14.3 , 24.4 , 22.8 , 19.2 , 17.8 , 16.4 , 17.3 , 15.2 , 10.4)

(Please round your answer to 2 decimal places. For example, round 1.3355 to 1.34)

The mean of prediction_1 is

The standard deviation of prediction_1 is

The length of actual values is