![]() This project applies various machine learning and regression algorithms to predict housing prices based on typical house listing information. ![]() This project attempts to explore data on the housing market in Ames, Iowa from 2006-2010. Max Chenoweth, Ames Housing Market Analysis and Modeling, Spring 2022, (Brandon Greenwell, Edward Winkofsky) The findings are two-fold and show that: 1) The larger churches were the least effective in retaining attendees likely due to a lack of connection even in a physical building and 2) People are still engaging with Crossroads’ social platforms even though attendance has dropped, meaning there exists a “new normal” for church. This data was used to build a PowerBI dashboard and fit a multiple linear regression to decompose the correlation between the 8 church engagement variables and their contribution to physical attendance. This project reviews three years of Crossroads Church physical attendance from 2019 to 2021 to visualize the change in church attendance YoY and identify which factors have the greatest propensity to predict physical church attendance. Research shows that people who regularly attend church report stronger social support networks and less depression. The mission behind increased attendance is to prevent isolation, encourage community building and make church feel more like a family than a podcast. Each of Crossroads’ 12 campuses are now fighting to grow physical attendance back to what it was prior to the outbreak in 2020. This project aims to (1) explore the impact of COVID-19 on Crossroads Church - one of the largest megachurches in Cincinnati - and (2) identify factors that have the greatest influence on post-COVID church attendance.Ĭrossroads Church physical attendance had dropped 25-35% between 20. The closure of churches forced Christian communities to pivot to online church, creating a “new normal” for church. The new way of life demands adaptation, including new ways for churches to engage with communities. Churches and religious communities have been greatly impacted, and likely permanently altered by the pandemic. The COVID-19 pandemic is unprecedented, causing major financial, social, employment, academic and religious disruptions. Nina Brillhart, Descriptive & Predictive Analytics: Crossroads Church Attendance Analysis, Spring 2022 (Brent Suer, Leonardo Lozano) This model can extrapolate coefficients to calculate projected prices for a property not included in our data (property without a designated price yet). To calculate the appropriate rent price in Cincinnati (45202 zip code) at any given time it is important to pull current market data every month and run an analytical model. To address this problem, a calculator was created which would allow property managers to understand what a property may be worth in the 45202 zip code based on property information. On the contrary, if priced too low, the property would miss out on potential revenue. In the volatile rent market, if a property was priced too high, it could stay on the market longer earning no money for the property managers. With changing populations also came changing rent prices which introduced a lose-lose situation for property managers. The coronavirus pandemic brought a lot of changes to society including the change in where people decided to live. Rishi Ambani, Appropriate Rent Prices in Cincinnati, Spring 2022 (Michael Morelli, Dylan Accorti) Cincinnati Business Achievement Awards right arrow down arrow.Resources For Students right arrow down arrow.Resources For Employers right arrow down arrow.Warren Bennis Leadership Institute right arrow down arrow.Urban Impact Studio right arrow down arrow.Kautz-Uible Economics Institute right arrow down arrow.Family and Private Business Awards (FPBA).Professional Selling right arrow down arrow.Entrepreneurship right arrow down arrow.Contact the Center for Business Analytics. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |