699 The Period 6 forecast by using weighted moving average with weights of 0 05,
ID: 386451 • Letter: 6
Question
699 The Period 6 forecast by using weighted moving average with weights of 0 05,025, 0.40, and 0.30- (in 2 decimal places) QUESTION 3 The manager of a seafood restaurant was asked to establish a pricing policy on lobster dinners. The manager intends to use the pricing S/LB to predict the lobster sales on each day. The pertinent historical data are collected as shown in the table. Anaswer the following questions. Day Lobster Sold/dayPrice ($/lb) 181 170 179 165 150 178 7.0 5.2 6.5 7.9 7.0 a) x - independent variable. According to this problem, the x b) r is the coecfficient of correlation. Use the r equation to compute the value of the denominator part of the equation. The value for the r denomnator - (in 4 decimal places) c) According to this problem, the correlation of coefficient, r, between the two most pertinent variables is d) According to the instructor's lecture, the correlation strength between any two variables can be described as strong weak or no comelation. The correlation strength for this pro (in 4 decimal places). described as correlation. Accordin zto the instructor's lecture, the correlation direction between any e described as 0Regardless, you were told to use the Associative Forecasting method to predict the expected lobster sale If the lobster price - SS.58, the expected #s of lobster sold- vo variables cau e de ri e as o m ations ap h em can corre ation direction r us relationship (round to the next whole #) QUESTION 4 Given is a historical time series for job services demand in the prior 6 months Month |Demand 702 Click Save and Submit to save and submit. Click Save All Answers to sque all ansuExplanation / Answer
Question 2:
Forecast for month 7 = (718*0.05) + (634*0.25) + (678*0.40) + (699*0.3)
= 35.9 + 158.5 + 271.2 + 209.7
= 675.3
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