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Question Completion Status: Use the following description to answer Questions 1-5. According to the American Academy of Pediatrics, toddlers (i.e., children who are 12 to 36 months old) need plenty of sleep during the night. However, studies show that many toddlers struggle and resist sleeping through the night. Dr. Capan has a 22- month-old toddler whose night sleep is rather difficult to predict. To analyze her toddler's sleep, she collects daily data including: day of the week (categorical, where the categories are: Monday...., Sunday), length of mid-day nap (numerical, in Minutes), type of snacks he had before going to bed (categorical where the categories are: fruit, yoghurt, crackers), length of night sleep (numerical, in hours) night sleep category (binary, takes values 0-short or 1-long-> short means night sleep - 12 hours) Question 1. Which data mining method would be best suited to predict the length of night sleep (numerical) using the variables: day of the week, length of mid-day nap, and type of snacks he had before going to bed? O Time Series Association Rule Mining Linear Regression O Logistic Regression QUESTION 2 Which data mining method would be best suited to predict the length of night sleep (numerical) using the previous nights' length of night sleep in the past 60 days? O Time Series O Association Rule Mining O Logistic Regression Clustering Click Save and Submit to save and submit. Click Save All Answers to save all answers, Save A MESON SE QUESTION 3 Which data mining method would be best suited to find out which days (categorical) and night sleep categories (binary) are frequently observed together? Time series O Association Rule Mining O Linear Regression Analysis Logistic Regression Analysis QUESTION 4 Which data mining method would be best suited to predict the night sleep category (binary) using the variables: day of the week, length of mid-day nap, and type of snacks he had before going to bed? Time Series Association Rule Mining Linear Regression Logistic Regression QUESTION 5 Use the following description to answer Questions 5-8. Consider the following dataset (Table 1) that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices. Table 1. Netflix data where 1-ves, and 0-no. Click Save and Submit to save and submit. Click Save All Answers to save all answers. Save A Consider the following dataset (Table 1) that an analytics team at Netflix collected from 10 customers including information about the viewers and their content consumption choices. Table 1. Netflix data where 1-yes, and 0=no. Gender Marital Status Watched Breaking Watched Ozark Bad Male Single 1 1 Male Married 1 1 Female Single 1 0 Male Single 0 0 Female Single 0 0. Female Single 1 0 Female Married 0 1 Female Single 0 I Male Single 0 0 Female Single 1 0 Question 5. What is the support, P(X&Y), for the rule XY where X represents Male and Y represents Watched Ozark = 17 10% 20% 40% 50% Click Save and Submit to save and submit. Click Save All Answers to save all answers. AFR 29 stv S A Aa What is the support, P(X&Y), for the rule XY where X represents Married and Y represents Watched Breaking Bad = 17 O 10% 20% O 50% O 80% QUESTION 7 What is the confidence, P(YIX), for the rule XY where X represents Watched Breaking Bad = 1 and Y represents Watched Ozark = 17 O 10% 20% 40% 50% QUESTION 8 What is the confidence, P(YIX), for the rule XY where X represents Single and Y represents Watched Breaking Bad = 1? 20% 40% 50% 80% Click Save and Submit to save and submit. Click Save All Answers to save all answers. p 29 tv S AB Aa Save All A