Explore and Predict Housing Sale Price in R
Real estate is a critical sector in our economy, so housing market predictions and forecasting are crucial to sales and development. Many factors influence housing prices, and the industry is connected to the financial system through collateral, loan securitization, and leverage. That is why forecasting real estate models should be extensively studied. Real estate has […]
Performance Measures of Customer Churn in a Logistic Regression Model
September 19, 2021 Customer churn is an important metric for service companies like telecommunications. Retaining customers is more cost-effective than acquiring new ones (Gallo, 2014). Therefore, a good predictive model can help organizations anticipate and prevent customer churn. In this project, five performance measures are calculated on the telecommunication company customer churn logistic regression model; […]
Analysis of Z-Scores for the mtcars Dataset
May 8, 2022 For this project, I will use the R program to analyze data in the mtcars dataset. The dataset information was called first, after which the string_vector code was used to analyze eight of the ten variables. Following this code, the sapply function calculated the mean, standard deviation, and maximum values for those […]
Stock Prices and Return Series for Google and Amazon
May 22, 2022 For this project, R statistical program is used to construct time series (line) plots for Google and Amazon stock prices and return series. Further, discussion of an appropriate test is performed to claim that Amazon has a higher mean return series than Google. Null and alternative hypotheses are provided, tests performed in […]
