Research Article

House Price Prediction Model of Zhaoqing City Based on Correlation Analysis and Multiple Linear Regression Analysis

Table 5

Multiple regression analysis of between house prices and influencing factors from 2010 to 2018.

Regression statistics
Multiple 0.997527
Square0.99506
Adjusted Square0.986827
Standard error118.1515
Observed Value9
Variance analysis
dfSSMSSignificance
Regression analysis5843587916871760.001174
Residual error341879.3313959.78
Total88477758
Regression parameter
CoefficientsStandard error Stat value
Intercept-6407.3415908.11-0.402770.7141
variable 177.4759427.491292.81820.066838
variable 20.0951280.0288033.3026850.045641
variable 326.9858870.521920.3826590.727474
variable 46.888992.6119392.63750.077823
variable 5-0.437570.401007-1.091180.35499