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 (Mean Absolute Percentage Error)? Round to one decimal place
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...
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: 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).
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...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 6 Value 20 14 16 10 18 14 Using the naiïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy a. Mean absolute error. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percent error. Round you answer to two decimal places. d. What is...
Consider the following time series data. Week 1 2 3 4 5 6 Value 1914 16 10 19 13 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. Round your answer to one decimal place. b. Mean squared error. Round your answer to one decimal place. c. Mean absolute percentage error. Round your answer to two decimal places. d. What is the forecast for...
Problem 15-01 (Algorithmic) Consider the following time series data. Week 1 2 3 4 5 6 Value 18 14 15 11 19 14 Using the naïve method (most recent value) as the forecast for the next week, compute the following measures of forecast accuracy. Mean absolute error. Round your answer to one decimal place. Mean squared error. Round your answer to one decimal place. Mean absolute percentage error. Round your answer to two decimal places. What is the forecast for...
Sales of Volkswagen's popular Beetle have grown steadily at auto dealerships in Nevada during the past 5 years (see table below). a) Forecasted sales for year 6 using a 3 year moving average is 558 sales (round your response to one decimal place). b) The MAD for a 3-year moving average based forecast is 67 sales (round your response to one decimal place). c) The MSE for a 3-year moving average based forecast is sales (round your response to the nearest whole number).