The mean absolute error, mean squared error, and mean absolute percentage error are all methods to measure the accuracy of a forecast. these methods measure forecast accuracy by select one:

a. adjusting the scale of the data.

b. using the current value to estimate how well the model generates previous values correctly.

c. determining how well a particular forecasting method is able to reproduce the time series data that are already available.

d. predicting the future values and wait for a pre-defined time period to examine how accurate the predictions were.

answer: i don't understand. what are the options

step-by-step explanation:

step-by-step explanation:

if you want to separate 54 into 6 individual tiers then you need to divide if you want to separate 54 into 6 individual tiers then you need to divide 6 and 54.

if you divide 9 by 6 you will get 54.

- hope i .

b. 18

step-by-step explanation:

so the equation for this is:

ab^2=ac⋅ad

ab being the top length of 6 and ac being the length of 2 and ad being the length of x. let's plug into the equation:

6^2 = 2x

now lets just solve for x:

36 = 2x

18 = x

i hope that !

h * s * a

h = history teacher

s = science teacher

a =   art teacher.

i see no data table, but just multiply the number of history teachers, science teachers, and art teachers.