**MAD Statistics for Time-Series Models**The following is the list of MAD (Mean Absolute Deviation) statistics for each of the models you have estimated from time-series data:| Model | MAD ||---------------------|------|| Linear Trend | 2.38 || Quadratic Trend | 3.22 || Exponential Trend | 1.39 || AR(2) | 2.71 |Based on the MAD criterion, the most appropriate model is- [ ] AR(2)- [ ] exponential trend- [ ] linear trend- [ ] quadratic trend

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Answered: The following is the list of MAD…

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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Use this multiple regression table to answer the series of questions below. Self-Reported Depression1 among Older American Adults (N = 1,946) Model 1 Model 2 Variables b (se) Beta b (se) Beta Drinking Problems with drinking (0= little to no problems with drinking to 4= serious problems with alcohol) .599 (.118) .117*** .429 (.108) .084*** Socio-Demographics Gender (Male =1) -.815 (.221) -.087*** -.553 (.203) -.059** Race/Ethnicity (White = 1) -1.105 (.250) -.099*** -.088 (.239) -.008 Marital Status (Married = 1) -.894 (.233) -.091*** -.352 (.225) -.036 Age (57 - 85 years old) .029 (.014) .048* -.026 (.014) -.043 Socio-Economic Indicators Income (1 = 0-24,999 to 4 = 100k or higher) -.612 (.121) -.133*** Education (1 = less than High school to 4 = Bachelors or more) -.238 (.108) -.053* Employment Status…
The data presented is a multiple logistic regression analysis and the models are shown below. In the models below, the data are coded as follows: p = the proportion of children with a diagnosis of ADHD, Child Exposed and Father’s Diagnosis are coded as 1 = yes and 0 = no. What is the odds ratio adjusted for father’s diagnosis? (Hint: Use only the appropriate model to find the odds ratio) (1) = –2.216 + 1.480 Child exposed (2) Father with diagnosis: = –1.665 + 1.297 Child exposed (3) Father without diagnosis: = –2.343 + 0.823 Child exposed (4) = –2.398 + 1.501 Child exposed + 0.906 Father’s diagnosis A) 4.49 B) 7 C) 2.88 D) 1.501
Graph the line with slope-1 passing through the point (1, 3). 30 or つ
V4.
Compare the three samples - monodisperse or disperse? Bimodal or multimodal?
ic SIS Days 1 2 Infected Individuals 678 722 a = 634.581 b = 1.073 2353 The table below shows the number of individuals infected with a disease t days after its first detected by the CDC. b = N X S For each of the following problems, enter regression equation values with at least 3 decimal places. Enter predictions to the nearest whole individual. ✓individuals III 3 4 5 756 825 882 1) Use regression to find an exponential equation that best fits the data above. The equation has form y = abt where: H 6 7 945 1017 individuals M Use the model to predict the number of individuals infected with the disease after 19 days. 8 1104 2) Use regression to find a linear equation that best fits the data above. The equation has form y = mt + b where: Use the model to predict the number of individuals infected with the disease after 19 days. 3) Use regression to find a quadratic equation that best fits the data above. The equation has form y = at² + bt + c where: S MyOpe
feyeb St Ral 5. Use regression to determine an exponential model for the following data. Round all parameters to 3 decimals. 15 20 22 10 d 140 250 410 780 1300 1670 CE OTTAS
How do you calculate an exponential smoothing model using alpha = 0.5 and 0.8. What is the prediction for 7/1/2021 for each technique? Forecasts Date Day of Week Rooms Sold MA 2 MA 4 ES (0.8) ES (0.5) 6/1/2021 Tuesday 123 6/2/2021 Wednesday 109 6/3/2021 Thursday 140 116.0 6/4/2021 Friday 199 124.5 6/5/2021 Saturday 179 169.5 142.8 6/6/2021 Sunday 140 189.0 156.8 6/7/2021 Monday 117 159.5 164.5 6/8/2021 Tuesday 132 128.5 158.8 6/9/2021 Wednesday 108 124.5 142.0 6/10/2021 Thursday 151 120.0 124.3 6/11/2021 Friday 182 129.5 127.0 6/12/2021 Saturday 168 166.5 143.3 6/13/2021 Sunday 161 175.0 152.3 6/14/2021 Monday 119 164.5 165.5 6/15/2021 Tuesday 133 140.0 157.5 6/16/2021 Wednesday 139 126.0 145.3 6/17/2021 Thursday 146 136.0 138.0 6/18/2021 Friday 168 142.5 134.3 6/19/2021 Saturday 188 157.0 146.5…
The following is the list of MAD statistics for each of the four models you have estimated from time-series data: Model MAD MSFE Linear Trend 1.38 22.9 Quadratic Trend 1.22 29.8 Linear Trend with Seasonality 1.39 25.5 Quadratic Trend with Seasonality 1.71 28.1 If it is important to weight all errors equally, the most appropriate model is Select one: O linear trend with seasonality. O quadratic trend with seasonality. O linear trend. quadratic trend. Check
G FTSE 100 6. Consider the OLS estimator of a model to explain the stock prices of observations from 2012 m1 to 2021 m 12, all variables are calculated company using 120 at the end of the month t log (stock +) 0.86 + 0.86 + 0.54 log (profit 6) - 0.65 log (research t)-1.34 log (marketing 6) (6.1) (1.12) (0.24) (0.30) (0.12) 3 n = 120, R² = 0.34 SSR = 1.29 F = 3.99 : / " 116 where stuck t the › in millions of stock price in GBP (British Sterling) profit & (the profit before tax GBP), research & (expenditure on research and development), and marketing t marketing) are measured in parentheses, SSR is the Sum of Squared Residuals, and the I statistic for the significance GBP. Standard errors are reported in (expenditure on millions of of the regression is $ provided. lat What is the interpretation of the coefficient on as you would expect? Explain your answer. log (profit t) 7 Is the sign of coefficient measured in thousands of GBP? Explain your answer. Hint: Would your interpretation…

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