15. two methods are used to predict how many customers will call in for in the next four days. the first method predicts the numbers of callers to be 23, 5, 14, and 20 for the four respective days. the second method predicts 20, 13, 14, and 20 for the four respective days. the actual numbers of callers turn out to be 23, 10, 15, and 19. which method has the bigger forecast bias

Method 1 has bigger forecast bias.

Step-by-step explanation:

We are given the following information in the question:

Actuals:

23, 10, 15, 19

Method 1 prediction:

23, 5, 14, 20

Residuals = Predicted - Actuals

Sum of square of errors:

Mean squared error:

Method 2 prediction:

20, 13, 14, 20

Residuals = Predicted - Actuals

Sum of square of errors:

Mean squared error:

Since, mean square error of method 2 is less as compared to method 1, method 1 has bigger forecast bias.

x = 12

y = 15

step-by-step explanation:

i think it is everything has to equal 180 so, if i correct 4=c. 6=d. 8=a. 7=b. and the last question would be c. because they are parallel lines and they are congruent.

step-by-step explanation:

the reason everything has to equal to 180 is because that is how it works. i'm guessing that is its rule. 4 and 8 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 6 and 7 are congruent and parallel so, that would be 30+30 because they have the same number. it would equal 60. 60+60 is 180. so, now you have your answer