10.The BEST company has developed a trend equation which is based on the quarterly sales on itsBluetooth wireless headphone (in $'000) over the past 3 years is:y = 10.2 + 1.6twhere t 1 for quarter 1 of year 1The following table gives the adjusted seasonal index for each quarter. Using the multiplicativemodel, complete the below table to determine the trend value and forecast for each of the fourquarters of the fourth year (correct to 1 decimal place).Year QuarterTrend value (y)AdjustedForecast(S'000)seasonal index(S'000)-4.6-2.91534.21.81635.85.6రాండ రంరు装零響券2.3.4.4.

Answered: eadphone ( 6t whe gives the ae below…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

Are the data displayed in the graph above discrete or continuous? What is the level of measurement of the data? Are the data above time series or cross-sectional data? Examine the data for each race/ethnicity group. Do the data represent a stationary or nonstationary process? Do any of the race/ethnicity groups exhibit a decreasing trend? Do any of the race/ethnicity groups show a strictly increasing trend over the entire time period from 2000 to 2016?
Suppose the following model describes changes in the civilian unemployment rate: Δuert = −0.0405 − 0.4674Δuert −1. The current change (first difference) in the un- employment rate is 0.0300. assume that the mean-reverting level for changes in the unemployment rate is −0.0276. a. what is the best prediction of the next change? b. what is the prediction of the change following the next change? C. explain your answer to Part b in terms of equilibrium.
The forecast for year 6 using a weighted 2-year moving average with weights of 0.350.35 and 0.650.65 (the weight of 0.650.65 is for the most recent period) is what?
If the lead time increases from 1 to 4 weeks, will the standard deviation of demand during thelead time increase four times? If not, why not?
1. Based on a sample of size 6, if the mean weight of 60-year old individuals at the time of survey was 200 lbs and the mean number of years they lived after the survey was 7.3 years and if the corresponding standard deviations were 35.8 lbs and 3.3 years and the correlation based on these six pairs is -0.82, what would be slope and intercept for the line of best fit? A. Slope = 22.4, intercept = -0.08 B. Slope = -0.08, Intercept = 22.4 C. Slope = 22.4, intercept = 0.08 D. Slope = 0.08, Intercept = 22.4 2. What would be the line of best fit in question 1? A. y = 22.4 - 0.08x B. y = 22.4 + 0.08x C. y = -22.4 + 0.08x D. y = -22.4 - 0.08x 3. Based on your line of best fit in question 2, if a person weighs 190 lbs, how many more years you would expect him to be alive? A. 2 years B. 4 years C. 8 years D. 12 years
Suppose a researcher believes that the occurrence of natural disasters such as earthquakes leads to increased activity in the construction industry. he decides to collect province-level data on employment in the construction industry of an earthquake-prone country, like Japan, and regress this variable on an indicator variable that equals 1 if an earthquake took place in that province in the last five years. a. Should the researcher include province fixed effects in order to control for location specific characteristics of the labor market? b. What can the researcher to control for the location effects?
The president of State University wants to forecast student enrollments for this Year academic year based on the following historical data: 5 years ago 4 years ago 3 years ago 2 years ago Last year Enrollments 15.000 16.000 18.000 20.000 21.000 a- What is the forecast for this year using a 3-year weighted moving average where the weights are halved in a descending order from newest to oldest ? b. What is the forecast for this year using the trend line for these data? c. using the MAD find which forecasting technique may be appropriate for this quetion
Assume that the averages of all factors other than educ have remained constant over time and that the average level of education is 12.2 for the 1972 sample and 13.3 in the 1984 sample.Using the estimates in Table 13.1, find the estimated change in average fertility between 1972 and 1984. (Be sure to account for the intercept change and the change in average education.)
In April of 2012, the Centers for Disease Control and Prevention announced that birth rates for U.S. teenag-ers reached historic lows. From 2009 to 2010 the rate declined 9%, to a level of 34.3 births per 1000 womenaged 15–19. Which of these conclusions is an example ofextrapolation in this context?A) There was a decreasing trend in teenage birth ratesat the time of this study.B) Time is an explanatory variable in the change ofteenage birth rates.C) By 2014, teenage birth rates will be 36% lower andset new records.D) There is a linear relationship between year andteenage birth rates.E) None of these is an example of extrapolation.
Ten students were chosen at random from our class and the grade and attendance is listed below. Attendance is the percent that work was turned in on time and the grade is the grade in the class except the final. Attendance Grade 94 100 49 60 87 80 100 95 52 40 75 66 100 95 65 61 89 70 98 93 The trend line is Y=0.918 x+1.7355____________________ and R2 is _0.8237____________ If a student plugs the value 80 in the trendline for x, write a sentence explaining the 80 and what the answer means.
Look at the four plots in Figure 14.2—the US unemployment rate, thedollar-pound exchange rate, the logarithm of the index of industrial production, and the percentage change in stock prices. Which of these seriesappears to be non-stationary? Which of them appears to resemble a randomwalk?
Suppose the following are the seasonal indices for the first three quarters of the year for a quarterly series: Quarter Seasonal Index Q1 73.9 Q2 84.1 Q3 107.1 Remember that the seasonal indices should average 100 so you should be able to infer the seasonal index for Q4. Furthermore, suppose that the estimated coeffcients from a regression of the deseasonalized series on Time are given below: Coefficients Intercept 2,964 Time 50.7 What is the trend projection of the series for period 119? (please round your answer to 1 decimal

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS

eadphone ( 6t whe gives the ae below tab