Let y, be a stock price observed at some consecutive days t = 1,2, ...,100. The analyst estimates a modelas Ay 1+0.5y-1. Given y,00 = 2 she can forecast i01 -Y100 at t = 101 to be:О а. 99O b. 1Ос. 2.O d. 4O e. 103

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Answered: Let y, be a stock price observed at…

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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The annual expenditure for cell phones varies by the age of an individual. The average annual expenditure E(a) (in $) for individuals of age a (in years) is given below:a: 20, 30, 40, 50, 60, 70E(a): 502, 658, 649, 627, 476, 2131. Use quadratic regression to find the model that best represents the data.2. At what age is the yearly expenditure for cell phones the greatest? Round the answer to the nearest year. YOU MUST SHOW THE WORK FOR THIS PART!
4.) (For Marketing & Sales Analysts-Consultants). Four months after the deliveries of goods were affected by the granular lockdown due to the Covid-19 pandemic, a manufacturer noticed that sales had dropped from 100,000 units per month to 80,000 units. If the sales follow an exponential pattern decline, what will they be after another 4 months? Note: Use the exponential model, y= Cekt, where t is measured in months.
The prices of earphones (in rands) at a music shop are shown in the table below for each month in 2006. It is generally accepted that the same price pattern repeats itself three times per annum and this principal may also be applied here. Consider this partially completed tables: Period 1 2 3 4 5 6 7 8 9 10 11 12 Prices (y) OB. 46.5 OC. 34.56 OD. 56.03 54.50 54.75 55.20 56.30 56.25 56.10 55.90 56.10 56.80 56.95 56.80 56.55 3-period Moving average 54.82 55.33 93.08 56.22 56.08 A 56.27 56.62 56.85 56.77 Seasonal index 99.87 99.6 100.68 100.05 100.04 B 100.18 Calculate the value of the missing moving average located at A. Round off to two decimals. OA. 57.56
A snow shovel company forecasts demand that shows strong seasonality by quarter. The linear trend can be estimated by the equation y(t) = 1000 + 1000t. The forecasts start with t = 0, which corresponds with Q1 of 2021 (Jan - Mar). t = 1 corresponds to Q2 of 2021 (Apr - Jun) and so on. The seasonal relatives for Q1 = 1.5, Q2 = 0.5, Q3 = 1, Q4 = 2. What is the seasonalized forecast for Q2 of 2022.
The Organization for Economic Cooperation and Development (OECD) consists of 20 industrialized countries. For these nations, the prediction equation relating y = child poverty rate (in percentage points) to x = social expenditure as a percentage of gross domestic product (GDP) is = 22-1.3x. In 2000, the actual child poverty rate ranged from 2.8% (in Finland) to 21.9% (in the U.S.). Social expenditure as a percentage of GDP ranged from 2% (in the United States) to 16% (in Denmark). What is the value of the y-intercept (a) estimated in the linear prediction equation provided above (= 22-1.3x)? Also, interpret the y-intercept. y-intercept: Interpretation of y-intercept:

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Let y, be a stock price observed at some consecutive days t = 1,2, ...,100. The analyst estimates a model as Ay 1+0.5y-1. Given y,100 = 2 she can forecast ŷ101 - y100 at t = 101 to be: