The number of internal disk drives (in millions) made at a plant in Taiwan during the...
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows:
|
Year |
Disk Drives |
|
1 |
142 |
|
2 |
156 |
|
3 |
184 |
|
4 |
204 |
|
5 |
210 |
a) Using simple linear regression, the forecast for the number of disk drives to be made next year =
disk drives (round your response to one decimal place).
b) The mean squared error (MSE) when using simple linear regression =
drives squareddrives2
(round your response to one decimal place).
c) The mean absolute percentage error (MAPE) when using simple linear regression =
(round your response to one decimal place).
Homework Answers
Add Answer to:
The number of internal disk drives (in millions) made at a
plant in Taiwan during the...
The number of internal disk drives (in millions) made at a plant in Taiwan during the...
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: year 1: 142 year 2: 156 year 3: 184 year 4: 200 year 5: 210 A) Using simple linear regression, the forecast for the number of disk drives to be made next year is.. ___ disk drives (round to one decimal place) B) What is the MSE (Mean Squared Error)? Round to one decimal place C) What is the MAPE...
The number of internal disk drives (in milions) made at a plant in Talwan during the...
The number of internal disk drives (in milions) made at a plant in Talwan during the past 5 years follows: Disk Drives 142 156 196 204 216 Year a) Using simple linear regression, the forecast for the number of disk drives to be made next year disk drives (round your response to one decimal place) b) The mean squared error(MSE) when using simple inear c) The mean absolute percentage error (MAPE) when using simple linear regression . regressiondrives (round your...
The number of internal disk drives (in millions) made at a plant in Taiwan during the...
The number of internal disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: Year Disk Drives 1 140140 2 156156 3 190190 4 202202 5 216216 a) Using simple linear regression..., the forecast for the number of disk drives to be made next year = 240.2 disk drives (round your response to one decimal place). b) The mean squared error (MSE) when using simple linear regression = ????drives^2 (round your response to...
The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows...
The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR DISK DRIVES 1 140 2 160 3 190 4 200 5 210 Forecast the number of disk drives to be made next year, using linear regression. Compute the mean squared error (MSE) when using linear regression. Compute the mean absolute percent error (MAPE).
Please provide hand-written explanation • 4.29 The number of disk drives (in millions) made at a plant in Taiwan dur...
Please provide hand-written explanation
• 4.29 The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR DISK DRIVES 140 160 nm + L 190 200 210 a) Forecast the number of disk drives to be made next year, using linear regression. b) Compute the mean squared error (MSE) when using linear regression. c) Compute the mean absolute percent error (MAPE). PX
Following are two weekly forecasts made by two different methods for the number of gallons of...
Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Forecast Method 1 Forecast Method 2 Week Week Actual Demand 0.70 1.00 0.96 1.00 0.95 1.02 0.92 1.22 AWN Actual Demand 0.70 1.00 0.96 1.00 0.77 1.19 0.88 1.15 NM The MAD for Method 1 = 0.145 thousand gallons (round your response to three decimal...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6...
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 16 11 17 13 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: Mean absolute error (MAE) Mean squared error (MSE) Mean absolute percentage error (MAPE) Round your answers to two decimal places. MAE = MSE = MAPE = Using the average of all the historical data as a...
PLEASE ONLY ANSWER IF YOU CAN DO WHAT IS BLANK, I DON'T NEED HELP WITH WHAT...
PLEASE ONLY ANSWER IF YOU CAN DO WHAT IS BLANK, I DON'T NEED
HELP WITH WHAT IS FILLED OUT ALREADY. THANK YOU!
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 1914 16 10 17 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: a. Mean absolute error (MAE) b. Mean squared error (MSE) c. Mean absolute percentage error...
How do i solve C Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships...
How do i solve C
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 455 502 520 563 580 a) Forecasted sales for year 6 using the trend projection (linear regression) method are 617.3 sales (round your response to one decimal place). b) The MAD for a linear regression forecast is 6.8 sales (round your response to one decimal place). c) The MSE for the linear...
Please help Consider the following time series data. 3 4 5 6 Week 12 18 14...
Please help
Consider the following time series data. 3 4 5 6 Week 12 18 14 Value 17 1018 15 Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy. (Round your answers to two decimal places.) (a) mean absolute error MAE - (b) mean squared error MSE - (c) mean absolute percentage error MAPE 96 (d) What is the forecast for week 7?
The number of internal disk drives (in milions) made at a plant in Talwan during the past 5 years follows: Disk Drives 142 156 196 204 216 Year a) Using simple linear regression, the forecast for the number of disk drives to be made next year disk drives (round your response to one decimal place) b) The mean squared error(MSE) when using simple inear c) The mean absolute percentage error (MAPE) when using simple linear regression . regressiondrives (round your...
Please provide hand-written explanation
• 4.29 The number of disk drives (in millions) made at a plant in Taiwan during the past 5 years follows: YEAR DISK DRIVES 140 160 nm + L 190 200 210 a) Forecast the number of disk drives to be made next year, using linear regression. b) Compute the mean squared error (MSE) when using linear regression. c) Compute the mean absolute percent error (MAPE). PX
Following are two weekly forecasts made by two different methods for the number of gallons of gasoline, in thousands, demanded at a local gasoline station. Also shown are actual demand levels, in thousands of gallons: Forecast Method 1 Forecast Method 2 Week Week Actual Demand 0.70 1.00 0.96 1.00 0.95 1.02 0.92 1.22 AWN Actual Demand 0.70 1.00 0.96 1.00 0.77 1.19 0.88 1.15 NM The MAD for Method 1 = 0.145 thousand gallons (round your response to three decimal...
PLEASE ONLY ANSWER IF YOU CAN DO WHAT IS BLANK, I DON'T NEED
HELP WITH WHAT IS FILLED OUT ALREADY. THANK YOU!
Problem 15-03 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 1914 16 10 17 15 Using the naive method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy: a. Mean absolute error (MAE) b. Mean squared error (MSE) c. Mean absolute percentage error...
How do i solve C
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). Year Sales 455 502 520 563 580 a) Forecasted sales for year 6 using the trend projection (linear regression) method are 617.3 sales (round your response to one decimal place). b) The MAD for a linear regression forecast is 6.8 sales (round your response to one decimal place). c) The MSE for the linear...
Please help
Consider the following time series data. 3 4 5 6 Week 12 18 14 Value 17 1018 15 Using the average of all the historical data as a forecast for the next period, compute the following measures of forecast accuracy. (Round your answers to two decimal places.) (a) mean absolute error MAE - (b) mean squared error MSE - (c) mean absolute percentage error MAPE 96 (d) What is the forecast for week 7?
Most questions answered within 3 hours.
-
There are balls numbered 1, 2, 3, 4, 5, 6, 7 in a box, 2 balls...
asked 1 minute ago -
what effect on total protein concentration would you
expect to see during dehydration? explain your reasoning.
asked 5 minutes ago -
You are the operations manager of a firm that uses the
continuous review inventory control system....
asked 3 hours ago -
Cost and fair value data for the trading debt securities of
Wildhorse Company at December 31,...
asked 5 hours ago -
In a population of jaguars, a gene with two alleles encodes the
fur color. Allele B...
asked 6 hours ago -
Two copper wires, one 1.80 times the diameter of the other, have
the same current flowing...
asked 5 hours ago -
9. In 2003 the price of ‘home heating oil’ substantially
increased during the harsh winter. In...
asked 6 hours ago -
Match the key paradoxes of negotiation.
Claiming Value
Sticking by your principles
Sticking with your strategy...
asked 6 hours ago -
Question text Suppose a sample of 28 observations is taken from
a population, and the sample...
asked 7 hours ago -
The mayor of a small town estimates that 33% of the
residents in the town favor...
asked 8 hours ago -
1. True or false: According to the Gordon Growth Model, firms
that pay dividends will always...
asked 9 hours ago -
20
Lansing Corporation reported net income of $67 million for last
year. Depreciation expense totaled $15...
asked 9 hours ago