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Hồi Quy Giá Bình Nước Giữ Nhiệt by Phương Võ is a document available to read on EtoBox.
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The document discusses using linear regression models to predict the price of thermos bottles based on different variables. It finds that monthly income has the highest predictive power, with an R-squared of 0.7795. The linear regression of price on income indicates that for every 1 million VND increase in monthly income, the predicted price of the thermos bottle increases by 0.94761 hundred thousand VND. Several other linear regression models are explored using other variables like age, capacity, and warra
- Author
- Phương Võ
- Language
- EN