a. Determine the correlation coefficient between the number of periods and the sales. Is time series 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 the area. Is a linear regression a good method to predict the sales for a month? 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 1MonthJanFebMarAprMayJunJulAugSepOctNovDecSales525436458485467402388364351348412501(pairs ofslippers)No. of12539571116132011019638127987647458121201touristsYear 2MonthJanFebMarAprMayJunJulAugSepOctNovDecSales533443469492483410392374371358426517(pairs ofslippers)No. of126310081122133411119738248127837878331215tourists Year 3MonthJanFebMarAprMayJunJulAugSepOctNovDecSales548468482498495422401386387378436531(pairs ofslippers)No. of127910211136133211219848228117947858421219tourists

. Determine the correlation coefficient between the number of periods and the sales. Is time series 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 the area. Is a linear regression a good method to predict the sales for a month?

. Determine the correlation coefficient between the number of periods and the sales. Is time series 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 the area. Is a linear regression a good method to predict the sales for a month?

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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