b)What is the predicted effect of increasing the price of beef by a dollar (100 cents) onchicken consumption? Question 3We have a time series dataset from the US which includes the following variables for the period 1960-1999:Yt: Per capita chicken consumption (in pounds) in year t.PC: The price of chicken (in cents per pound) in year t.PB: The price of beef (in cents per pound) in year t.YD: Per capita disposable income (in hundreds of dollars) in year t.YD2t: YD+ squared, i.e. YD2, = YD²We estimate by OLS the following regression model:Table 2..Dependent variable: YNumber of observations: 40VariableinterceptPCPBYDYD2R-squaredF statistic(p-value)Coefficient27.6-0.610.090.20-0.00010.998.74(0.006)Standard Error1.580.160.040.010.00005

We are given the regression coefficients of beef chicken and income coefficients for the chicken…

Answered: We have a time series dataset from the…

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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1.8 Compute and compare the total electricity consumption of Sub-Saharan Africa to the United States in 2012. The population of Sub-Saharan Africa was 926 million, and the United States was 314 million. The per person consumption in the United States in 2012 was 12.96 MWh per year. Consult Fig. 1.11 for the per person consumption in Sub-Saharan Africa.
Please answer the following question using the images provided for data in the images. 1. Which of the following time periods will have the largest annual average increase in the percentage of jobs that could be fully automated (based on the provided images attached)? A) 2020-2028 B) 2028-2030 C) 2030-2035 D) 2035-2040 E) 2040-2050
1.40 Continuous or Discrete? Identify each variable as continuous or discrete: EX a. Number of homicides in Detroit during a one-month period b. Length of time between arrivals at an outpatient clinic c. Number of typing errors on a page of manuscript d. Number of defective lightbulbs in a package containing four bulbs e. Time required to finish an examination
Q. 14 Explain the Graphic method of trend estimation in a time series and give its merits and demerits.
Part D. Data from the Statistical Abstract of the United States provides a panel data collected at the state level in 1987 and 1990. These data are used to estimate MODEL 1: The variables used in the analysis are: infmort is number of deaths within the year per 1,000 live births Ipcinc is natural log of per capita income Ipopul is natural log of the population (the population is in thousands) Iphysic is natural log of physicians per 100,000 inhabitants d90 is year dummy for 1990. For questions 1 to 4 you can assume that MLR 1-4 are satisfied. A 1. Use the Stata output below to interpret ß3. Test at a 5% significance level whether the number of physicians per capita has any effect on infant mortality rate. reg infmort 1pcinc 1popul 1physic d90 Source Model Residual Total infmort infmort = Po + B₁lpcinc + B₂lpopul + ß3lphysic + 8₁ d90 + u SS 78.0499129 350.452136 428.502049 df . 19.5124782 4 97 3.61290862 Coef. Std. Err. MS 101 4.24259454 1pcinc -4.693354 1.638132 1popul - .0551426…
1. Linear Trendlines (See this link for trendline help): Using the data set given in Excel Supplement Part 1, we want to show that the beam deflection, given in millimeters, is linearly dependent on the load, given in Newtons. This means deflection will be plotted as a function of load. In other words, the deflection will be measured along the y-axis and the load will be measured along the x-axis. a. Add a linear curve fit of the plotted data with the line going through the origin by adding a linear Trendline element to your chart and setting the intercept of that line to zero (i.e., make sure "Set Intercept" is selected and equal to 0). b. Display the linear trendline equation on the chart (i.e., “Display Equation on chart" is selected). Display the equation's slope to 3 decimal places (select Category: Number and Decimal places: 3). c. Make sure your chart's axes and title are appropriately labeled. Include units with your axis labels. Do not display a legend. For the Chart title,…
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lakhs) of a certain commodity for the year On the basis of quarterly sales (in 2008-12, the following calculations were made : Trend: Y = 20 + 0.5 t with origin at 1st quarter of 2008. where 1 = time unit = one quarter and y = quarterly sales ( Seasonal variations: Quarter I II III IV Seasonal Index 80 90 120 110 Estimate the quarterly sale for the year 1979 using multiplicative model.
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?

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