A weather model makes four predictions. The table shows what it announced and what actually happened.
The mean squared error is
L=1n∑i=1n(y^i−yi)2L = \frac{1}{n}\sum_{i=1}^{n}\left(\hat{y}_i - y_i\right)^2L=n1∑i=1n(y^i−yi)2
What is LLL for this model?
Select all that apply.
1.751.751.75
171717
4.254.254.25
−0.75-0.75−0.75