Research Article
House Price Prediction Model of Zhaoqing City Based on Correlation Analysis and Multiple Linear Regression Analysis
Table 12
Multiple regression analysis of
between house prices and influencing factors from 2010 to 2019.
(a) |
| | Regression statistics |
| | Multiple | 0.998274 | | Square | 0.996551 | | Adjusted Square | 0.98448 | | Standard error | 136.4757 | | Observed Value | 10 |
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(b) |
| | Variance analysis | | df | SS | MS | Significance |
| | Regression analysis | 7 | 10763747 | 1537678 | 0.012019 | | Residual error | 2 | 37251.25 | 18625.63 | | | Total | 9 | 10800998 | | |
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(c) |
| | Regression parameter | | Coefficients | Standard error | Stat | value |
| | Intercept | 40965.94 | 14990.85 | 2.73273 | 0.11188 | | variable 1 | -0.06003 | 0.048248 | -1.24426 | 0.339447 | | variable 2 | -442.964 | 58.9225 | -7.51775 | 0.017238 | | variable 3 | 0.168055 | 0.117236 | 1.433472 | 0.288128 | | variable 4 | 17.10636 | 1.903533 | 8.986634 | 0.012157 | | variable 5 | 173.8367 | 60.72239 | 2.86281 | 0.10343 | | variable 6 | 1.350608 | 0.396272 | 3.408283 | 0.076356 | | variable 7 | -263.218 | 260.0871 | -1.01204 | 0.418045 |
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