Assignment 4 - Understanding and Predicting Property Maintenance Fines This assignment is based on a data challenge from the Michigan Data Science Team (MDST). The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by the city to individuals who allow their properties to remain in a deteriorated condition. Every year, the city of Detroit issues millions of dollars in fines to residents and every year, many of these fines remain unpaid. Enforcing unpaid blight fines is a costly and tedious process, so the city wants to know: how can we increase blight ticket compliance?

Vortex company operates a retail store with two departments. information about those departments follows. department a department b sales $ 800,000 $ 450,000 cost of goods sold 497,000 291,000 direct expenses salaries 125,000 88,000 insurance 20,000 10,000 utilities 24,000 14,000 depreciation 21,000 12,000 maintenance 7,000 5,000 the company also incurred the following indirect costs. salaries $36,000 insurance 6,000 depreciation 15,000 office expenses 50,000 indirect costs are allocated as follows: salaries on the basis of sales; insurance and depreciation on the basis of square footage; and office expenses on the basis of number of employees. additional information about the departments follows. department square footage number of employees a 28,000 75 b 12,000 50 required: 1. determine the departmental contribution to overhead and the departmental net income for department a and department b.