A particular forecasting model was used to forecast a six-month period. Here are the forecasts and actual demands that resulted: FORECAST ACTUAL April 244 344 May 318 468 June 393 493 July 343 293 August 368 268 September 443 568 a. Find the tracking signal for each month.

MONTH    TRACKING SIGNAL

April                    1

May                    2

June                   3

July                     3

August                2

September         3

Explanation:

Given the data in the question;

   A              B                C              D          E            F                   G

Month     Forecast     Actual      Error     |Error|     RSFE          MAD

                                                                              cumulative

                                                    C-D       |C-D|       of D          

April             244         344          100        100        100            100.00

May              318          468          150       150         250           125.00

June             393         493          100       100         350           116.67

July               343         293         -50        50          300           100.00

August          368         268        -100      100          200           100.00

September   443         568        125        125          325            104.17

the tracking signal for each  month will be;

Tracking Signal =  

Running Sum of Forecast Errors (RSFE) / Mean Absolute Deviation (MAD)

so substitute

Month of APRIL;

Tracking signal = 100 / 100.00  = 1

Month of MAY;

Tracking signal = 250 / 125.00  = 2

Month of JUNE;

Tracking signal = 350 / 116.67 = 2.9999 ≈ 3

Month of JULY;

Tracking signal = 300 / 100.00 = 3

Month of AUGUST;

Tracking signal = 200 / 100 = 2

Month of SEPTEMBER;  

Tracking signal = 325 / 104.17 = 3.11 ≈ 3

Therefore,

MONTH    TRACKING SIGNAL

April                    1

May                    2

June                   3

July                     3

August                2

September         3

hi : ) i found this so i hope this !

"we first find value of tax in dollars.

the difference between the two prices   is: 23. 54 - 22 = 1.54

therefore the sales tax in dollars is 1.54

the tax % will be   (amount of tax / original cost price ) × 100

(1.54 / 22) × 100  → (0.07) × 100 =   7

so the tax rate is 7%

we can double check the answer.

7 % of 22   → (7/100) × 22 → 0.07 × 22 = 1.54

22 + 1.54 = 23.54"

answer; conceptual skills;