Databytes on Instagram: "Not every variable in your dataset deserves a voice in the prediction. Hypothesis testing in linear regression helps decide which features actually matter and which ones are just noise. Using housing prices as context, this shows why some inputs get statistically rejected even though they exist in the data. [hypothesis testing, linear regression inference, feature significance, p value interpretation, housing price prediction, irrelevant variables, model simplification,