A classification tree is manually built on thedata below to predict whether or not astudent will pass a course. The predictorvariables include the categorisation of 2ndyear marks (categorised as high (H) / medium(M) / or low (L)) and whether or not themajority of lectures were attended (yes (Y) orno (N)). The response is coded as a pass (P) orfail (F).2nd yr marks Attended PassedNFLYPMFMYHNHYPThe model predicts that a student withmedium 2nd year marks who did not attendall lectures will pass, true or false?

We have a given model that a student with Medium 2nd year marks who did not attend all lectures will…

Answered: student will pass a course. 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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23 views A well-known multinational FMCG produces more than fifty products and sells them in the market. Out of fifty products one is mineral water for drinking purpose and supplies different size pack bottles in the market. Product manager observed that, during hot days the sale of water is more as compared to the normal days. He started the collection of data of weekly sale of water and the average weekly temperature. Product manager was interested in developing a relationship between sales and temperature; therefore, he discussed and shared the following data with you. sales 75 77 69 63 79 80 77 70 73 87 72 73 80 80 69 84 77 72 74 81 temperature 32 36 31 31 34 29 32 35 28 31 30 31 29 35 36 28 32 33 32 33 Sale is in thousand liters and temperature is in degree Celsius. Data is Normally distributed You are required to determine the following information for some concrete decision:…
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