Effect of Housing Factors on Price in Seattle During the COVID-19 Pandemic

Due to the influence of the COVID-19 pandemic, global economic trends have faced an immense change. The major difficulty experienced by workers, laborers, and households are the tremendous changes in housing prices in every part of the world which are both hard to bear and almost impossible to forecast from current factors. With a particular dataset based on the housing price in Seattle, Oregon, USA. This research will use a multiple linear regression model to predict the housing price through various housing factors and to compare the accuracy of the prediction and the relationship between variables by contrasting the train and test set whilst also constructing a residual graph. The result ends up with a moderate accuracy due to the influence of multicollinearity between the factors, this can be seen through the variance Inflation Factor. The process requires the standardization of the data in order to make the test legitimate.