Question 4I'm trying to forecast how many TVs my shop will sell in 2021. I have data for the previous 3 years:2018: 352019:522020:36.What is the forecast for 2021 using the exponential smoothing method, given that I seed the exponential smoothingmethod with the naive forecast method to get the 2019 forecast (35), and alpha=0.87 Round to the nearest wholenumber. For example, if your answer is 203.33, enter 203 into the box.

It is given that the forecast method for 2019 is 35.

Answered: I'm trying to forecast how many TVs my…

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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Below is data collected over 6 specific years. The data collected is the Consumer Price Index (CPI) and the cost of a slice of tuna. We would like to build a model using the CPI to predict the cost of a slice of pizza in a given year. Year 1960 1973 1986 1995 2002 2003 CPI (x) 30.2 48.3 112.3 162.2 191.9 197.8 Cost of a slice of tuna(y) 0.15 0.35 1.00 1.25 1.75 2.00 Plot the data. Are we justified in creating a Linear Regression model to predict the price of a pizza slice using the CPI? Why or why not? Calculate the descriptive statistics. Calculate the sums of squares Calculate the slope, intercept, and correlation. What is this correlation value telling us? Assemble the prediction equation, and interpret the slope within the context of the problem. State the hypotheses for the hypothesis test for regression.
If sales are 41,576 and 47,987 for 2018 and 2019, what would you forecast for 2020 using exponential smoothing with a weight of 0.7 ? (The first forecast is equal to the actual value of the preceding year).
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please solve it quickly for multiple vote
please answer these two correctly;
China had a population in 2008 of about 1.14 billion people. The populaton is growing by about 1.34% each year. If this trend continues, when will China's population reach 1.2 billion.
Consider the following table that gives the population of City A from Year 1 to Year 6. Complete all parts (a-k) to this question. Part 1: Fill-in the last two columns in the table. List your answers as a - j for the chart and answer the question k below. Round growth rate to the nearest ten-thousandth (4 decimal places). Population of City A, Year 1 to year 6 Year Population (P) Change ΔP{"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mo>∆</mo><mi>P</mi></math>"} Growth Rate ΔPP{"version":"1.1","math":"<math xmlns="http://www.w3.org/1998/Math/MathML"><mfrac><mrow><mo>∆</mo><mi>P</mi></mrow><mi>P</mi></mfrac></math>"} 1 315,422 N/A N/A 2 320,421 a. b. 3 321,765 c. d. 4 322,162 e. f. 5 331,165 g. h. 6 331,200 i. j. Part 2: k. Does it make sense to fit this data with an exponential model? Why or why…
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