This document presents a complete solution to a statistics assignment focusing on regression analysis. The assignment covers two main problems. The first problem involves analyzing the relationship between house prices and various factors like house size, lot size, number of bedrooms and bathrooms, and age. It includes interpreting regression coefficients, performing hypothesis tests to assess the significance of each variable, calculating the adjusted R-squared, and forecasting house prices based on given input values. The second problem explores the factors affecting sales, including price, time trend, and seasonal and event-based dummy variables. The solution includes interpreting regression outputs, testing the significance of price and time, calculating confidence intervals for sales differences between seasons, performing hypothesis tests, and forecasting sales for different quarters, considering price and time variables.