Corporate triple-A bond interest rates for 12 consecutive months follow.9.5 9.3 9.5 9.7 9.8 9.8 9.9(a) Construct a time series plot.10.6 9.9 9.8 9.7 9.7 (b) Develop three-month and four-month moving averages for this time series. (Round your answers to two decimal places.)Time SeriesValue3-Month MovingAverage Forecast4-Month MovingAverage ForecastMonth1234567891011129.59.39.59.79.89.89.910.69.99.89.79.7Does the three-month or four-month moving average provide more accurate forecasts based on MSE? Explain.O The four-month moving average provides more accurate forecasts, because its MSE is larger than that of the three-month moving average.O The three-month moving average provides more accurate forecasts, because its MSE is smaller than that of the four-month moving average.O The four-month moving average provides more accurate forecasts, because its MSE is smaller than that of the three-month moving average.O The three-month moving average provides more accurate forecasts, because its MSE is larger than that of the four-month moving average.(c) Using the more accurate approach, what is the moving average forecast for the next month? (Round your answer to two decimal places.)

The data for the time series is given.

Answered: (b) Develop three-month and four-month…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Consider the following time series data. Week 1 2 3 4 S 9 Value 18 11 14 10 16 13 (a) Construct a time series plot. What type of pattern exists in the data? ◇ The data appear to follow a cyclical pattern. O The data appear to follow a trend pattern. The data appear to follow a seasonal pattern. ◇ The data appear to follow a horizontal pattern. (b) Develop the three-week moving average for this time series. (Round your answers to two decimal places.) Week Time Series Value Forecast 1 18 2 11 3 14 4 10 5 16 6 13 Compute MSE. (Round your answer to two decimal places.) MSE= What is the forecast for week 7?
iv, v only please. thank you
Data 6 5.5 7.5 4.5 6.5 5 6 6.5 7 5.5 6 6.5 4.5 5 6.5 6.5 6.5 7.5 5.5 5.5 6 6 6 5.5 6.5 6.5 4.5 4.5 5.5 6.5 1. From the data collected above, calculate the following. x̄ = _______ s = _______ 2. Using your sample mean, sample standard deviation, and histogram, what was the approximate theoretical distribution of the data you collected? X ~ _____(____,___) How does this histogram help you arrive at the approximate distribution?
Years Height (cm) 0.9 0.79 2.0 3.98 2.1 4.81 4.0 11.41 4.8 29.72 5.2 24.2 6.2 26.81 9.0 91.47 9.1 129.45 Use automatic linear regression (e.g. using Excel or Sheets) to find a line of best fit, with the Years as the "x" values and the Height (cm) as "y" values. Explain exactly what you did.
Consider the following quarterly time series. Quarter 1 2 3 4 Year 1 923 Year 2 1,112 1,056 1,156 992 Year 3 1,078 1,243 1,124 1,124 1,254 1,301 1,198 a. Construct a time series plot. What type of pattern exists in the data? b. Use a multiple regression model with dummy variables as follows to develop an equation to account for seasonal effects in the data. Qtr1 = 1 if quarter 1, 0 otherwise; Qtr2 = 1 if quarter 2, 0 otherwise; Qtr3 = 1 if quarter 3, 0 otherwise. c. Compute the quarterly forecasts for next year based on the model developed in part b.
Question list Question 3 Question 4 Question 5 Question 6 K The values listed below are waiting times (in minutes) of customers at two different banks. At Bank A, customers enter a single waiting line that feeds three teller windows. At Bank B, customers may enter any one of three different lines that have formed at three teller windows. Answer the following questions. Bank A Bank B 6.4 4.2 6.6 5.3 6.7 5.8 Click the icon to view the table of Chi-Square critical values. min

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