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Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 218))

Abstract

In this paper, using the multiple linear regression method we built the cobweb and gray models to forecast a model based on the national real estate data. Reasonable assumptions were built of our country using real estate industry trend analysis and sustainable development model; the model is calculated and analyzed, and the results with the T inspection and F inspection test validated for rationality. Then the reasonable explanations and suggestions are given.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (Grant No. 50879074, 11072211), the doctoral program of higher education of special research foundation (Grant No. 20105303110001), applied basic research program of Yunnan (Grant No. 2011FN017), the western plateau region for the effective use of solar energy utilization and sustainable development of the Ministry of Education innovation team development plan.

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Correspondence to Tianjiu Leng .

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© 2013 Springer-Verlag London

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Leng, T., Hu, D., Hu, P., Lin, W., Liu, T. (2013). Real Estate Industry Situation Analysis Model. In: Zhong, Z. (eds) Proceedings of the International Conference on Information Engineering and Applications (IEA) 2012. Lecture Notes in Electrical Engineering, vol 218. Springer, London. https://doi.org/10.1007/978-1-4471-4847-0_4

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  • DOI: https://doi.org/10.1007/978-1-4471-4847-0_4

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-4846-3

  • Online ISBN: 978-1-4471-4847-0

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