Does the three-month or four-month moving average provide more accurate forecasts based on MSE? Explain.The three-month moving average provides more accurate forecasts, because its MSE is smaller than that of the four-month movingaverage.The three-month moving average provides more accurate forecasts, because its MSE is larger than that of the four-month movingaverage.The four-month moving average provides more accurate forecasts, because its MSE is smaller than that of the three-month movingaverage.The four-month moving average provides more accurate forecasts, because its MSE is larger than that of the three-month movingaverage.(c) Using the more accurate approach, what is the moving average forecast for the next month? (Round your answer to two decimal places.) Corporate triple-A bond interest rates for 12 consecutive months follow.(a) Construct a time series plot.ܚܝܩܘܐܬܐ ܘܟܘܐܢܐ ܒܘܬܐ12345679.6 9.4 9.5 9.6 9.9 9.7 9.8 10.5 10.0 9.8811.0 T910.5What type of pattern exists in the data?O The data appear to follow a trend pattern.O The data appear to follow a seasonal pattern.O The data appear to follow a horizontal pattern.O The data appear to follow a cyclical pattern.Month10.0+11109.59.0+128.5-8.07.57.0 +0 1 2 3 4 5 6 7 8 9 10 11 12 13(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 Forecast9.69.49.59.69.99.79.810.510.09.8Month9.69.611.0110.510.0+9.59.0-8.5+8.07.5-9.6 9.67.00 1 2 3 4 5 6 7 8 9 10 11 12 13MonthO11.0 T10.5+10.0+9.59.08.5+8.07.57.00 1 2 3 4 5 6 7 8 9 10 11 12 13Month11.0 T10.510.0+9.59.0+8.5+8.07.57.00 1 2 3 4 5 6 7 8 9 10 11 12 13MonthⓇ

Given information: Month Interest rate 1 9.6 2 9.4 3 9.5 4 9.6 5 9.9 6 9.7 7 9.8…

Answered: Corporate triple-A bond interest rates…

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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Median Family income has grown substantially in recent years. Years Income Percent Change Years Income Percent Change 2000 11,500.00 - 2011 17,982.05 2 2001 11,845.00 3 2012 18,341.69 2 2002 12,437.25 5 2013 18,525.10 1 2003 12,934.74 4 2014 19,080.86 3 2004 14,228.21 10 2015 19,844.09 4 2005 15,366.47 8 2016 21,630.06 9 2006 16,288.46 6 2017 22,711.56 5 2007 16,777.11…
Check and report confidence in each model format that you created
9 see pic
A time series is a collection of data that _______. Multiple Choice records past performance records future performance is limited to yearly data is limited to quarterly data
Q5-2 Pls help with steps and answers. Thank you.
Doctors are testing a new antidepressant. A group of patients, all with similar characteristics, take part in the study. Some of the patients receive the new drug, while others receive the traditional drug. During the study, a number of patients complain about insomnia. The data are shown in the contingency table below. What is the relative risk of insomnia for those who receive the new drug? Round to two decimal places. New drug Total Insomnia No insomnia Total Traditional drug 36 Provide your answer below: 52 88 226 295 521 278 331 609
n a time series, high sales in the summer and low sales in the winter is an example of _______. Multiple Choice a trend seasonality cycles an irregular component
year Income (S) B 1994 6036 85.1 20.4 1995 6113 87.8 20.2 Make a forecast of Mr. X's Income for the next five years 1996 6271 88.9 21.3 Make forecast of income for the given values of B =110 and P= 55 1997 6378 94.5 19.9 1998 6727 99.9 18 1999 7027 99.5 19.9 2000 7280 104.2 22.2 2001 7513 106.5 22.3 2002 7728 109.7 23.4 2003 7891 110.8 26.2 2004 8134 113.7 27.1 2005 8322 113 29 2006 8562 116 33.5 2007 9042 108.7 42.8 2008 8867 115.4 35.6 2009 8944 118.9 32.2 2010 9175 127.4 33.7 2011 9381 123.5 34.4 2012 9735 117.9 48.5 2013 9829 105.4 66.1 2014 9722 103.2 62.4 2015 9769 104.2 58.6 2016 9725 103.7 56.7 2017 9930 105.7 55.5 2018 10419 105.5 57.3 2019 10625 106.5 53.7 2020 10905 107.3 52.6
3:18 K The accompanying data represent the percentage of recent high school graduates (graduated within 12 months before the given year-end) who enrolled in college in the fall. Construct a time-series plot and comment on any trends. Click the icon to view the data table. Year 1989 Choose the correct time-series plot below. O A. 1990 1991 1992 1993 1994 1995 1996 1997 Percent Enrolled College Enrollment 70+ 64- 58++ 1989 1997 2005 Year College Enrollment Percent Enrolled 59.6 60.1 62.3 61.7 62.4 61.7 61.7 65.5 67.5 Q ||| = OB. Print Percent Enrolled Comment on any trends. Choose the correct comment below. Year 1998 1999 2000 2001 2002 2003 2004 2005 College Enrollment 70- 64- 58 1989 (...) 1997 2005 Year A. The percentage of high school graduates who enrolled in college has generally decreased, though there have been some up years. B. The percentage of high school graduates who enrolled in college has generally increased, though there have been some down years. OC. There are not any…
20 see pic
b and c part
When using the exponentially weighted moving average for purposes of forecasting rather than smoothing, Group of answer choices the current smoothed value becomes the forecast. the previous smoothed value becomes the forecast. the next smoothed value becomes the forecast. None of the above.

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