set forecasts using alpha 0.45 and 0.78 for the total oil productions in millions of tons for Saudi Arabia using simple exponential smoothing Table 2. Total oil production in millions of tons for Saudi Arabia from 1996-2013Forecast Demand, F, Forecast Demand, F,TimeObservationYeara = 0.45a = 0.78xt19961445.3619972453.2019983454.4119994422.382000456.0420016440.3920027425.1920038486.212004500.43200510521.28200611508.95200712488.89200813509.87200914456.72201015473.82201116525.95201217549.83201318542.34

The forecasting for the total oil production (in millions) is to be concluded using the simple…

Table 2. Total oil production in millions of tons for Saudi Arabia from 1996-2013 Forecast Demand, F¿| Forecast Demand, F, a = 0.45 Time Observation Year a = 0.78 yt 445.36 1996 1 1997 2 453.20 1998 3 454.41 1999 4 422.38 2000 456.04 2001 440.39 2002 7 425.19 2003 8 486.21 2004 500.43 2005 10 521.28 2006 11 508.95 2007 12 488.89 2008 13 509.87 2009 14 456.72 2010 15 473.82 2011 16 525.95 2012 17 549.8 2013 18 542.34

Table 2. Total oil production in millions of tons for Saudi Arabia from 1996-2013 Forecast Demand, F¿| Forecast Demand, F, a = 0.45 Time Observation Year a = 0.78 yt 445.36 1996 1 1997 2 453.20 1998 3 454.41 1999 4 422.38 2000 456.04 2001 440.39 2002 7 425.19 2003 8 486.21 2004 500.43 2005 10 521.28 2006 11 508.95 2007 12 488.89 2008 13 509.87 2009 14 456.72 2010 15 473.82 2011 16 525.95 2012 17 549.8 2013 18 542.34

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

The coefficients are given by ln w = 11.7 + 0.05school ln w = 11.4 + 0.10school women men 1. Do women make more or less than men? What is the average difference in log wages between women and men? What do log differences approximate? 2. Depict on the graph a prediction for how much a man would make with the schooling of an average woman. 3. Use the regression equations, estimate the predicted log wage of the man with the schooling of an average woman. 4. Use (2) to graphically decompose the difference in average men’s log wages with average women’s log wages into a component due to schooling and an unexplained component. 5. Use (3) to algebraically decompose the difference in average women’s log wages with average men’s log wages into a component due to schooling and an unexplained component. 6. What fraction of the wage differences are unexplained? 7. Would your answer change if instead you predicted how much a woman would make with the schooling of an average man? Explain. 8. Is the…
Based on the graph above, estimate ( to one decimal place) the average rate of change from x=1 to x=4
Fake a dataset using a logit model with 20 observations, 1 independent variable whose values are natural numbers between 1 and 5, (odds(x+1)/odds(x)) =1.139, and p=0.52. Show a screenshot of your dataset.
A safety engineer uses simple logistic regression tostudy the relationship between occupancy years (x)and evacuation decision (y), under a majorhurricane forecast. Each occupant willevacuate (Y = 1) or stay (Y = 0). Sample dataprovides the estimated logit function:w = 2.83 − 0.24x. Estimate the odds that ahomeowner of 10 years will evacuate.
Please complete parts b and c
8
1 - A simple exponential smoothing model has a current mean of 156.8. Assuming demand for next period is 170, update the value of the smoothing statistic. Let a = 0.1. 2- An electronics company has sold 145, 157, 124, 169,179, 201, 197, and 230 units of a certain stereo system quarterly for the past two years. Plot the data and fit an appropriate model. Forecast sales for the next two quarters.
please answer these two correctly;
the following information, Find the forecast for period two using exponential smoothing and a = 0.3. Period 2 Demand 64 70 A Forecast 59
(1) Confirm that the data in Table 1.2 for the temperatures 25 °C and 45 °C can also be approximated by constant relative changes. Then find the exponentials that match the data.
Define the three logarithmic regression models? Explain how Logarithms and percentages are inter linked?
Table 1. DEMOGRAPHY OF COUNTRY X 2020 2018 2015 Total population 109,035,343 100,981,437 92,337,852 Average annual population growth rate 1.63 (2015- 2020) 1.72 (2010- 2015) 1.90 (2000- 2010) Population density (persons per square kilometer) 363 337 308 Births (Based on civil registration) Male 990,390 750,871 632,870 Female 952,126 972,802 487,798 Deaths (Based on civil registration) Timely 506,530 509,762 473,987 Late 106,820 110,382 116,803 2012 2009 2005 Total population by sex 102,303,977 93,114,333 89,088,544 Male 51,962,069 46,257,634 44,788,757 Female 50,341,908 46,856,699 44,299,787 Proportion of total population by sex Male 50.79 49.68 50.27 Female 49.21 50.32 49.73 Total population by age group 0-4 years 10,931,818 10,784,233 10,656,575 0-14 years 32,793,155 30,937,734…