The unitary linear regression model can be expressed as: y=β0+β 1x+ε. In this expression, if β 1 is positive, it means that the loan interest rate is positively related to the house price, and the house price will also rise when the loan interest rate rises. If β 1 is negative, it means that the loan interest rate is negatively related to the house price, and the loan interest rate rises and the house price falls. Where y represents house price, x represents loan interest rate, β0 and β 1 represent intercept and slope respectively, and ε is the error term. The goal of the model is to find the best fitting straight line, so that the sum of the distances from all data points to the straight line is the smallest.