Question

Freight car loadings over an 18-week period at a busy port are as follows: Week Number...

Freight car loadings over an 18-week period at a busy port are as follows:

Week Number Week Number Week Number
1 220 7 350 13 460
2 245 8 360 14 475
3 280 9 400 15 500
4 275 10 380 16 510
5 300 11 420 17 525
6 310 12 450 18 541

   
a. Determine a linear trend line for expected freight car loadings. (Round your intermediate calculations and final answers to 3 decimal places.)

YˆY^ =  +  t


b. Use the trend equation to predict expected loadings for weeks 20 and 21. (Round your intermediate calculations and final answers to 3 decimal places.)

The forecasted demand for week 20 and 21 is  and  respectively.

c.
The manager intends to install new equipment when the volume exceeds 800 loadings per week. Assuming the current trend continues, the loading volume will reach that level in approximately how many more weeks? (Round your intermediate calculations to 3 decimal places and final answer to the nearest whole number.) *I asked this question before and 31 was not correct for number of weeks*

It would take approximately  more weeks.

Homework Answers

Answer #1

a) Determine a linear trend line for expected freight car loadings

Y=19X+208.5

where y= car loadings x= week number

b)Use the trend equation to predict expected loadings for weeks 20 and 21

Week 20: Y=19*20+208.5

= 588.5

Week 21 : Y= 19*21+208.5

=607.5

c. The manager intends to install new equipment when the volume exceeds 800 loadings per week.

Here is the working

since

Y=19X+208.5

so substituting Y=800 we get this

800=19X+208.5

800-208.5=19x

591.5=19X

Now X= 591.5/19

=31.131 weeks

Know the answer?
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for?
Ask your own homework help question
Similar Questions
Step by step plz Freight car loadings over a 10-week period at a busy port are...
Step by step plz Freight car loadings over a 10-week period at a busy port are as follows: Week Number 1 220 2 245 3 280 4 275 5 300 6 310 7 362 8 360 9 402 10 400 Develop forecast from week 5 to week 10 by using 4-week moving average. Find the MAD for this forecasting method. Please round your answer to 4 decimal places if necessary.
n electrical contractor's records during the last five weeks indicate the number of job requests: Week:...
n electrical contractor's records during the last five weeks indicate the number of job requests: Week: 1 2 3 4 5 Requests: 17 19 15 18 19 Predict the number of requests for week 6 using each of these methods: a. Naive. Number of requests b. A four-period moving average. (Round your answer to 2 decimal places.) Number of requests c. Exponential smoothing with α = .30. Use 17 for week 2 forecast. (Round your intermediate forecast values and final...
Problem 15-07 (Algorithmic) Refer to the gasoline sales time series data in the given table. Week...
Problem 15-07 (Algorithmic) Refer to the gasoline sales time series data in the given table. Week Sales (1000s of gallons) 1 17 2 21 3 19 4 24 5 18 6 15 7 21 8 19 9 22 10 21 11 16 12 22 Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places. Week Sales 4-Week Moving Average 5-Week Moving Average 1 17 2 21 3 19 4 24 5 18 6...
Refer to the gasoline sales time series data in the given table. Week Sales (1000s of...
Refer to the gasoline sales time series data in the given table. Week Sales (1000s of gallons) 1 18 2 21 3 18 4 22 5 17 6 15 7 20 8 18 9 21 10 20 11 14 12 22 Compute four-week and five-week moving averages for the time series. Round your answers to two decimal places. Week Sales 4-Week Moving Average 5-Week Moving Average 1 18 2 21 3 18 4 22 5 17 6 15 7 20...
An electrical contractor's records during the last five weeks indicate the number of job requests: Week:...
An electrical contractor's records during the last five weeks indicate the number of job requests: Week: 1 2 3 4 5 Requests: 23 29 23 28 25 Predict the number of requests for week 6 using each of these methods: a. Naive. Number of requests             b. A four-period moving average. (Round your answer to 2 decimal places.) Number of requests             c. Exponential smoothing with α = .20. Use 22 for week 2 forecast. (Round your intermediate...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 12...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 12 15 10 18 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 15 10 17 15 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 15 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13...
Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 16 11 17 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. (a) Mean absolute error If required, round your answer to one decimal place. (b) Mean squared error If required, round your answer to one decimal place. (c) Mean absolute percentage error If required, round your intermediate calculations and final...