The weighted moving average forecast for the 5th period, with weights of 0.15 for period 1, 0.20 for period 2, 0.25 for period 3, and 0.40 for period 4, using the demand data shown below is period demand 1 3,500 2 3,800 3 3,500 4 4,000

Multiply the demand values by the weights and report the sum.

0.15×3,500 +0.20×3,800 +0.25×3,500 +0.40×4,000 = 525 +760 +875 +1600

= 3,760

The weighted moving average forecast for the 5th period is 3,760.

x = -4

step-by-step explanation:

- 20 - 4(x + 3) = 4x

=> -20 - 4x - 12 = 4x

=> - 32 -4x = 4x

=> -32 = 4x + 4x

=> - 32 = 8x

=> -32/8 = x

=> -4 = x

company a

step-by-step explanation:

using the linear regression models , it is found that company a   pays about $14 more. but using the same regression (linear) company b pays about $10 more.

so company a pays more than b