- Please Urgent 1 (914.49 KiB) Viewed 96 times
PLEASE URGENT!!!!!!!!!!!!!!
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answerhappygod
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PLEASE URGENT!!!!!!!!!!!!!!
PLEASE URGENT!!!!!!!!!!!!!!
Partl (1h00) Name: 2 é Exercisel: A company wants to estimate the probability that a customer will churn (switch to a different company) in the next six months. With a reasonably accurate prediction of a person's likelihood of churning, the sales and marketing groups can attempt to retain the customer by offering various incentives. Data on 8,000 current and prior customers was obtained. The variables collected for each customer follow: Age (years) Churned_contacts (count)-Number of the customer's contacts that have churned (count) Churned (true/false)-Whether the customer churned Customer Age (Years) Churned Contacts Churned (true/false) 1 50 1 True 2 30 3 Truc 3 28 6 Falsc : : . : : : : 7999 20 1 False 8000 20 Truc 1 Using your engineering statistical knowledge about regression, express a statistical model to achieve the goal of the company (Explain what the response variable (y) in your model and the tricks you use to convert your model into a regression equation). Answer 2- We assume that after analyzing the data and fitting your model, you find that: y = 3.5 – 0.16 x (Age) + 0.38 (Churned_Contacts) Give a statistical interpretation about the impact of the age and Churned Contacts
Partl (1h00) Name: 2 é Exercisel: A company wants to estimate the probability that a customer will churn (switch to a different company) in the next six months. With a reasonably accurate prediction of a person's likelihood of churning, the sales and marketing groups can attempt to retain the customer by offering various incentives. Data on 8,000 current and prior customers was obtained. The variables collected for each customer follow: Age (years) Churned_contacts (count)-Number of the customer's contacts that have churned (count) Churned (true/false)-Whether the customer churned Customer Age (Years) Churned Contacts Churned (true/false) 1 50 1 True 2 30 3 Truc 3 28 6 Falsc : : . : : : : 7999 20 1 False 8000 20 Truc 1 Using your engineering statistical knowledge about regression, express a statistical model to achieve the goal of the company (Explain what the response variable (y) in your model and the tricks you use to convert your model into a regression equation). Answer 2- We assume that after analyzing the data and fitting your model, you find that: y = 3.5 – 0.16 x (Age) + 0.38 (Churned_Contacts) Give a statistical interpretation about the impact of the age and Churned Contacts