Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts the numbers of callers to be $\backslash (23,5,14\backslash ),$ and $20$ for the four respective days. The second method predicts $\backslash (20,13,14\backslash ),$ and $20$ for the four respective days. The actual numbers of callers turn out to be $\backslash (23,10,15\backslash ),$ and $19.$ Which method has the bigger forecast bias? The first method The second method Both are biased Both are not biasedTB MC Qu$.15-17$ Two methods are used to predict... Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts the numbers of callers to be $\backslash (23,5,14\backslash ),$ and $20$ for the four respective days. The second method predicts $\backslash (20,13,14\backslash ),$ and $20$ for the four respective days. The actual numbers of callers turn out to be $\backslash (23,10,15\backslash ),$ and $19.$ Which method has the smaller mean squared error $($MSE$)?$ The first method The second method Both methods have the same MSE Cannot be determinedTB MC Qu$.15-18$ Two methods are used to predict... Two methods are used to predict how many customers will call in for help in the next four days. The first method predicts the numbers of callers to be $\backslash (23,5,14\backslash ),$ and $20$ for the four respective days. The second method predicts $\backslash (20,13,14\backslash ),$ and $20$ for the four respective days. The actual numbers of callers turn out to be $\backslash (23,10,15\backslash ),$ and $19.$ Which method has the smaller mean absolute error $($MAE$)?$ The first method The second method Both methods have the same MAE Cannot be determined