### Computing mean absolute percentage error of forecasts

Assignment Help Basic Statistics
##### Reference no: EM1321591

Q1) Table lists number (in millions) of Chevrolet passenger cars sold to dealers in the U.S. and Canada from 1980 to 1985.

 Year Sales 1980 1.740 1981 1.444 1982 0.896 1983 1.289 1984 1.455 1985 4.882

Q2) Using exponential smoothing technique to data from 1980 to 1985, predict number of Chevrolet passenger cars sold to U.S. and Canadian dealers in 1985 using w = .3.

a) 2.448 million cars.

b) 3.834 million cars.

c) 4.882 million cars.

d) 3.427 million cars.

Q3) Using exponential smoothing technique to data from 1980 to 1985, predict the number of Chevrolet passenger cars to be sold to U.S. and Canadian dealers in 1985 using w = .7.

a) 3.834 million cars.

b) 4.882 million cars.

c) 2.448 million cars.

d) 3.427 million cars.

Q4) Consider actual values Y and predict values F given in table below.

 Time Period Y F 1 19.5 19.3 2 21.5 20.9 3 22.6 22.5

Compute mean absolute deviation (MAD) of the forecasts.

a) 0.30

b) 0.37

c) 1.42

d) 0.90

Consider actual values Y and predict values F given in table below.

 Time Period Y F 1 19.5 19.3 2 21.5 20.9 3 22.6 22.5

Compute mean absolute percentage error (MAPE) of the forecasts.

a) 0.90

b) 0.37

c) 0.30

d) 1.42