Consider the following time series. t 1 2 3 4 5 yt 6 10 8 13...

Consider the following time series. t 1 2 3 4 5 yt 6 10 8 13 15 (a) Choose the correct time series plot. (i) (ii) (iii) (iv) What type of pattern exists in the data? (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If required, round your answers to two decimal places. y-intercept, b0 = 4.1 Slope, b1 = 2.1 MSE = ???? (c) What is the forecast for t = 6? If required, round your answer to one decimal place. 16.7 I know how to do it all but the MSE.

Solutions

Expert Solution

orchestra answered 1 year ago

Next > < Previous

Related Solutions

Consider the following time series data. t 1 2 3 4 5 6 7 yt 10...

Consider the following time series data. t 1 2 3 4 5 6 7 yt 10 9 7 8 6 4 4 a. Construct a time series plot. What type of pattern exists in the data? b. Develop the linear trend equation for this time series. c. What is the forecast for t=8?

Consider the following time series. t 1 2 3 4 5 6 7 Yt 83 61...

Consider the following time series. t 1 2 3 4 5 6 7 Yt 83 61 45 36 29 28 36 b. Develop the quadratic trend equation for the time series. Enter negative value as negative number.(to 3 decimals) Tt = ______ + _______t + ________ t2 c. What is the forecast for t = 8?

Consider the following time series. t 1 2 3 4 5 6 7 yt 125 108...

Consider the following time series. t 1 2 3 4 5 6 7 yt 125 108 102 99 94 92 86 (b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If required, round your answers to two decimal places. y-intercept, b0 = Slope, b1 = MSE = (c) What is the forecast for t = 8? If required, round your answer to one decimal place.

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 a. Use a smoothing constant of a = 0.4 to compute the MSE (to 2 decimals). (___) 2.Consider the following time series data. Week 1 2 3 4 5 6 Value 19 13 17 12 17 15 b. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if...

Consider the following time series data. Week 1 2 3 4 5 6 Value 20 13...

Consider the following time series data. Week 1 2 3 4 5 6 Value 20 13 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 13...

Consider the following time series data. Week 1 2 3 4 5 6 Value 18 13 17 11 17 15 Calculate the measures of forecast error using the naive (most recent value) method and the average of historical data (to 2 decimals). Naive method Historical data Mean absolute error Mean squared error Mean absolute percentage error Top of Form Consider the following time series data. Month 1 2 3 4 5 6 7 Value 23 14 19 10 18...

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 17 12 17 15 a. develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week 7 (to 2 decimals if necessary). b. use = 0.2 to compute the exponential smoothing forecasts for the time series. Compute MSE and a forecast for week 7 (to 2 decimals). c. use a smoothing constant of =0.4 to compute the MSE...

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 17 12 17 15 a. Which of the following is a correct time series plot for this data? What type of pattern exists in the data? b. Develop the three-week moving average forecasts for this time series. Compute MSE and a forecast for week (to 2 decimals if necessary). MSE The forecast for week c. Use to compute the exponential smoothing forecasts for the...

Consider the following time series: Period 1, 2, 3, 4, 5, 6, 7, 8 Demand 15,...

Consider the following time series: Period 1, 2, 3, 4, 5, 6, 7, 8 Demand 15, 17, 14, 7, 10, 12, 7, 5 A. using a trend projection, forecast the demand for period 9 b. calculate the MAD for this forecast SHOW ALL WORK! DO NOT USE EXCEL OR PHSTAT!

Consider the following time series data: Month 1 2 3 4 5 6 7 8 Value...

Consider the following time series data: Month 1 2 3 4 5 6 7 8 Value 24 13 21 12 20 23 15 25 Compute MSE using the most recent value as the forecast for the next period. What is the forecast for month 9? Compute MSE using the average of all the data available as the forecast for the next period. What is the forecast for month 9? Which method appears to provide the better forecast?

Subjects