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

Table 1

Data on factors affecting house prices in 2010-2020 of Zhaoqing.

(a)

Year	(house price in Zhaoqing)	(GDP)	(proportion of secondary industry)	(proportion of tertiary industry)	(income of urban residents)	(resident employed persons)	(fiscal revenue)
2010	4522	1085.87	42.06	40.42	16832.37	213.05	76.8
2011	5202	1323.3	44.34	38.56	19039.65	215.13	92.23
2012	5182	1473.84	45.77	37.91	21754.4	215.55	103.81
2013	5646	1660.07	47.65	36.54	23929.84	216.22	120.77
2014	5409	1845.06	50.06	35.3	21725.8	217.79	139.1
2015	4993	1970.01	50.27	35.1	18991.4	218.44	143.36
2016	5227	2084.02	48.1	36.5	25907.21	220.31	91.7
2017	6686	2110.01	36.6	47.9	28276.1	221.31	94.85
2018	7896	2201.8	35.2	49	30679.6	225.3	106.04
2019	7247	2248.8	41.14	41.68	33259.8	231.64	114.21
2020	6597	2311.65	39.81	42.7	35470.16	235.08	121.99

(b)

Year	(land price)	(investment in real estate development)	(resident population)	(population density)	(net migration of population within the province)	(net migration of population outside the province)	(proportion of urban population)
2010	385.64	91.14	392.22	273.16	8528	2204	42.39
2011	1306.22	143.11	395.14	276.06	2497	2653	42.45
2012	947.15	145.45	398.23	287.15	-4497	858	42.62
2013	935.16	171.48	402.21	288.64	-17228	-73	43.82
2014	466.46	188.89	403.58	291.27	-5731	-1026	44.01
2015	580.64	159.77	405.96	294.14	-5521	-1405	45.16
2016	849.52	145.2	408.46	1369	-8250	-728	46.08
2017	2545	208.04	411.54	1707	-9175	3340	46.78
2018	1763	348.03	415.17	1974.02	-13086	2944	47.76
2019	2095	456.79	418.71	2045.84	-15580	2664	48.63
2020	2081	586.66	421.71	2343.67	-18467.05	1697.36	49.4

(Data source: National Bureau of Statistics, Statistics Bureau of Guangdong Province, Zhaoqing Municipal Government) (unit: GDP (billion yuan), proportion of secondary industry (billion yuan, %), proportion of tertiary industry (billion yuan, %), income of urban residents (yuan), number of employed residents (10,000 persons), fiscal revenue (billion yuan), land price (yuan/m²), investment in real estate development (yuan/m²), resident population (10,000 person), population density (person/km²), net migration of population within the province (person), net migration from outside the province (person), and urban population ratio (%)).