Backward Selection

Bootrap to learn whether conditional misinfo outcome is ever more precise that post-misinfo outcome

Template for 431 Project A Plan for Fall 2024 at CWRU

This is based on Statcast's new EV50 which looks at the median Exit Velocity.

This study aims to quantify the impact of advertising expenditure on sales revenue. By utilizing linear regression analysis, the relative effectiveness of different advertising platforms are assessed in driving sales. The study will further evaluate the model's ability to predict future sales based on advertising inputs.

Weather conditions play a crucial role in various aspects of daily life, from influencing personal plans to affecting economic activities. In Seattle, known for its frequent rainfall and varying weather patterns, accurately predicting weather conditions can help residents and businesses make informed decisions. This project aims to develop a predictive model to forecast maximum daily temperatures based on historical weather data. By leveraging statistical and machine learning techniques, we aim to provide insights into the key factors driving temperature variations and enhance the ability to predict future weather conditions.