Consider a retail store that sells five kinds of Apple Products (AirPod, Apple Watch, Mac, iPhone, and iPad). You are given a customer transaction data set shown in the following table. Customer ID Gender Age Items Bought 1 Male 23 {AirPod, Apple Watch, iPhone, iPad 2 Male 30 {Apple Watch, Mac, iPhone 3 Female 24 {AirPod, Apple Watch, iPhone, iPad 4 Male 25 {AirPod, Mac, iPhone, iPad) 5 Male 19 {Apple Watch, Mac, iPhone, iPad) Female 47 {Apple Watch, iPhone, iPad) 7 Female 48 {Mac, iPhone) Female 33 {AirPod, Apple Watch, Mac) Female 49 {AirPod, Mac, iPhone} 10 Female 62 {Apple Watch, iPhone) 6 8 9 a) Compute the support, confidence, and lift of the association rules below. Please interpret the results and draw out the marketing implications. (15 marks) Rule 1) If Mac then iPad. Rule 2) If AirPod and iPhone then iPad. b) Run a multiple regression with the number of product purchases as the dependent variable and customers' age and gender as the independent variables. Interpret the results. (10 marks) Consider a retail store that sells five kinds of Apple Products (AirPod, Apple Watch, Mac, iPhone, and iPad). You are given a customer transaction data set shown in the following table. Customer ID Gender Age Items Bought 1 Male 23 {AirPod, Apple Watch, iPhone, iPad 2 Male 30 {Apple Watch, Mac, iPhone 3 Female 24 {AirPod, Apple Watch, iPhone, iPad 4 Male 25 {AirPod, Mac, iPhone, iPad) 5 Male 19 {Apple Watch, Mac, iPhone, iPad) Female 47 {Apple Watch, iPhone, iPad) 7 Female 48 {Mac, iPhone) Female 33 {AirPod, Apple Watch, Mac) Female 49 {AirPod, Mac, iPhone} 10 Female 62 {Apple Watch, iPhone) 6 8 9 a) Compute the support, confidence, and lift of the association rules below. Please interpret the results and draw out the marketing implications. (15 marks) Rule 1) If Mac then iPad. Rule 2) If AirPod and iPhone then iPad. b) Run a multiple regression with the number of product purchases as the dependent variable and customers' age and gender as the independent variables. Interpret the results. (10 marks)