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

Table 7

Multiple regression analysis of between house prices and influencing factors from 2010 to2018.

(a)

Regression statistics
Multiple	0.997527
Square	0.99506
Adjusted Square	0.98024
Standard error	144.7054
Observed Value	9

(b)

Variance analysis
	df	SS	MS	Significance
Regression analysis	6	8435879	1405980	0.014747
Residual error	2	41879.29	20939.65
Total	8	8477758

(c)

Regression parameter
	Coefficients	Standard error	Stat	value
Intercept	-6447.56	37221.94	-0.17322	0.878424
variable 1	77.5207	48.77848	1.58924	0.252954
variable 2	0.095203	0.068862	1.38253	0.300949
variable 3	27.32024	277.4319	0.098475	0.930536
variable 4	6.88196	6.399813	1.075338	0.394726
variable 5	-0.43857	0.925351	-0.47395	0.68224
variable 6	-0.08477	66.84155	-0.00127	0.999103