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spssÖÐÈçºÎ×ö·Ö¶ÎÏßÐԻع飨 piecewise regression£© ÒÑÓÐ1È˲ÎÓë
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¸÷λ´óÏÀ°ïæÁË£¡ÇëÎÊ´ó¼ÒÈçºÎÔÚSPSSÖÐ×ö·Ö¶ÎÏßÐԻعé·ÖÎö£¬»¹ÓÐÄǸö·Ö¶ÎµÄ¹Õµã£¨·ÖÁѵ㣩ÊÇÒª×Ô¼ºÅжÏÉ趨£¬»¹ÊÇSPSS·ÖÎöÖпÉÒÔÖ±½Ó¸ø³ö·ÖÁѵãÐÅÏ¢¡£ÒòΪ±¾È˵ÄÊý¾Ý±È½Ï¶à£¬¶øÇÒÊÇÁ¬Ðø±äÁ¿£¬×Ô¼ºÅжϹյãºÜÄÑ£¨¹À¼ÆÒ²Åжϲ»×¼È·£©£¬Ö®Ç°×öÁ˶þ´Îº¯ÊýÄâºÏ£¬µ«ÊÇÉó¸åÈËÈÏΪӦ¸Ã×ö·Ö¶ÎÏßÐԻعé·ÖÎö£¬²¢¼ìÑéÊÇ·ñ´æÔÚ·ÖÁѵ㣨Éó¸åÒâ¼û´óÖÂÈçÏ£º The authors use quadratic relationships. These should likely be replaced with broken stick (piece-wise) regression models. There is no evidence at the global scale that climatic relationships reverse themselves. A quadratic function might explain more variation than a linear relationship, but it does not mean it is appropriate. The authors also haven't shown the quadratic portion of the function to be significant. 4. The authors utilize a breakpoint at 0.5¡ãC for some of their relationships. This needs to be independently derived. They need to run a piecewise regression model and test whether there is a breakpoint in their data, no less if it is at 0.5¡ãC. £© Çë¸ßÊÖÖ¸µã£¡²»Ê¤¸Ð¼¤£¡ |
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