Research Article
House Price Prediction Model of Zhaoqing City Based on Correlation Analysis and Multiple Linear Regression Analysis
Table 9
Multiple regression analysis of
between house prices and influencing factors from 2010 to 2018.
(a) |
| | Regression statistics |
| | Multiple | 0.998004 | | Square | 0.996011 | | Adjusted Square | 0.96809 | | Standard error | 183.891 | | Observed Value | 9 |
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(b) |
| | Variance analysis | | df | SS | MS | Significance |
| | Regression analysis | 7 | 8443942 | 1206277 | 0.128235 | | Residual error | 1 | 33815.91 | 33815.91 | | | Total | 8 | 8477758 | | |
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(c) |
| | Regression parameter | | Coefficients | Standard error | Stat | value |
| | Intercept | -28987 | 66090.7 | -0.43859 | 0.736867 | | variable 1 | 123.493 | 112.7199 | 1.095574 | 0.470985 | | variable 2 | 0.21588 | 0.262167 | 0.823447 | 0.561449 | | variable 3 | 335.0975 | 722.1909 | 0.464001 | 0.723429 | | variable 4 | 0.114641 | 16.06871 | 0.007134 | 0.995458 | | variable 5 | -1.87334 | 3.164806 | -0.59193 | 0.65975 | | variable 6 | -156.464 | 331.3167 | -0.47225 | 0.719123 | | variable 7 | 363.5802 | 744.5641 | 0.488313 | 0.710813 |
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