Please answer - About Forecasting Year 3MonthFebApr498May495Aug SepJanMarJunJulOctNovDecSales548468482422401386 387378436531(pairs ofslippers)No. of1279 1021 1136 1332 1121 984 822 811 794 785 842 1219| touristsa. Determine the correlation coefficient between the number of periods and the sales. Is timeseries a good method of predicting the monthly sales for year 4?b. Determine the correlation coefficient between the sales and the number of tourists in thearea. Is a linear regression a good method to predict the sales for a month?Use seasonal forecasting to determine the sales if there are 1500 tourist in the area.d. Which of the methods mentioned above gives the most accurate forecast?С. 2. In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales.She then checked the record in the Tourist Community Center, which the record shows on thetable below:Year 1MonthSalesFebJulAug388 364JanMarAprMayJunOctNovSep351 348Dec525436 458485467402412 501(pairs ofslippers)No. of12539571116132011019638127987647458121201touristsYear 2MonthJanFebMarAprMayJunJulOctAugSep392 374371 358NovDecSales533443469492483410426517(pairs ofslippers)No. oftourists1263 1008 1122 1334 1111| 973 824 812783 7878331215

a. To determine the correlation coefficient between the number of periods and sales, let us denote…

Answered: In a mountainous tourist destination, a…

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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In a mountainous tourist destination, a lady sells slippers. Her assistant recorded monthly sales. She then checked the record in the Tourist Community Center, which the record shows on the table below: