I need help coming up with a few ideas on what this project could be about! keep in mind that access to data is very important in the projects. I also need a list of the factors that affect the topic.

This project really confuses me so any clarity and ideas would be greatly appreciated!

Assessment Instructions As final deliverables to the client'instructor, each student will submit a report in Word and Business Analytic Dashboard in form of Excel Spreadsheet. Phase 1: Project Proposal (5 Points) End of week 1 (10/25) determine a topic that can be explored using predictictive analysis techniques. I will be predicting the snowfall for the 2020/2021 ski season three major ski resorts across Colorado. I will predict snowfall in Aspen, Steam Boat, and Vail. This information is important to me because I work in the ski industry. decide the research questions pertinent to the topic and develop a predictive analytics model. you can predict stock returns, sales of products, gross revenue of movies, salaries of athletes... specify the motivation behind the topic and its relevance in practice. build a theoretical model for your prediction. This comprises indicating the dependent variable (the variable you are trying to predict) and the independent variables (the variable that will help you predict the dependent variable). 4 independent variables are required. indicate the anticipated relationships in your model. In other words, for each independent variable, do you expect it to have a positive, negative, quadratic, or a logarithmic relationship? You need to briefly specify the rationale behind each prediction. Phase 1 Deliverables End of Week 3 (11/8) 1 page single space summary of your project proposal including 3 steps indicated above. Satisfactory (50%-85%) Superior (85%-100%) Research . The research topic is specified but lacks Clear research question Question clarification (30%) Motivation and relevance need improvement Motivation and relevance well articulated. Model Variables (50%) . Model Variables clearly specified. Complete list of variables. An incoherent rationale on relationships. . Model Variables clearly specified. Complete list of variables. A coherent rationale for the relationships. Model Formulation (20%) Mathematical formulation provided. Expected relationships provided but need improvement. Mathematical formulation provided. Expected relationships provided