用SPSS做回归分析，求帮忙。。。
\u5982\u4f55\u7528spss\u505a\u56de\u5f52\u5206\u6790\u8981\u505a\u7684\u5185\u5bb9\u5f88\u591a\u4e86\uff0c\u9664\u4e86\u6b63\u6001\u6027\u3001\u6b8b\u5dee\u5206\u5e03\u60c5\u51b5\uff0c\u8fd8\u8981\u8ba1\u7b97\u591a\u91cd\u5171\u7ebf\u6027\uff0c\u7136\u540e\u5f97\u5230\u6a21\u578b\uff0c\u53ef\u80fd\u8fd8\u8981\u505a\u9884\u6d4b
\u6211\u66ff\u522b\u4eba\u505a\u8fd9\u7c7b\u7684\u6570\u636e\u5206\u6790\u86ee\u591a\u7684
\u7ed9\u4f60\u4e3e\u4e2a\u4f8b\u5b50\u6765\u8bf4\u660e\u5427
\u5de6\u8868\u7684\u6570\u636e\u662f\u5bf9\u6570\u5e74\u6765\u56fd\u5185\u65c5\u6e38\u8005\u7684\u65c5\u6e38\u82b1\u8d39\u4e0e\u81ea\u7531\u81ea\u914d\u6536\u5165\u3001\u95f2\u6687\u65f6\u95f4\u7684\u8c03\u67e5\u6570\u636e\u3002\uff08\u6570\u636e\u662f\u5047\u8bbe\u7684\uff09
\u76ee\u7684\uff1a\u8bd5\u8fdb\u884c\u591a\u91cd\u56de\u5f52\u5206\u6790\uff0c\u6c42\u51fa\u56de\u5f52\u65b9\u7a0b\u5f0f\uff0c\u6765\u5e74\u82e5\u95f2\u6687\u65f6\u95f4\u6ca1\u6709\u53d8\u5316\uff0c\u4f46\u81ea\u7531\u81ea\u914d\u6536\u5165\u8f83\u4e4b\u4eca\u5e74\u5c06\u4f1a\u589e\u52a010%\uff0c\u90a3\u4e48\u4eba\u7684\u65c5\u6e38\u82b1\u8d39\u5c06\u4f1a\u4f7f\u591a\u5c11\u5219\u5b83\u7684\u8425\u4e1a\u6536\u5165\u5c06\u4f1a\u662f\u591a\u5c11\uff1f
24.
\u5e74\u5ea6 \u65c5\u6e38\u6d88\u8d39 \u81ea\u7531\u652f\u914d\u6536\u5165 \u95f2\u6687\u65f6\u95f4
2000 678 30.6 69.7
2001 703 42.2 71.3
2002 720 41.0 77.6
2003 743 52.6 81.0
2004 762 61.8 78.7
2005 768 62.3 76.3
2006 775 63.5 79.6
2007 796 65.3 78.9
2008 803 70.0 80.0
\u8fd9\u91cc\u5148\u505a\u4e00\u4e2a\u76f8\u5173\u6027\u7684\u5206\u6790\uff0c\u53ef\u4ee5\u770b\u51fa\u65c5\u6e38\u6d88\u8d39\u8ddf\u5e74\u5ea6\u548c\u81ea\u7531\u652f\u914d\u6536\u5165\u90fd\u6709\u5f88\u5f3a\u7684\u7ebf\u6027\u5173\u7cfb\uff0c\u53ef\u4ee5\u77e5\u9053\u65c5\u6e38\u6d88\u8d39\u9664\u4e86\u8ddf\u6536\u5165\u6709\u5173\u4e4b\u5916\uff0c\u968f\u7740\u5e74\u5ea6\u7684\u589e\u957f\uff0c\u4eba\u4eec\u6d88\u8d39\u610f\u8bc6\u548c\u751f\u6d3b\u6c34\u5e73\u7684\u63d0\u5347\uff0c\u65c5\u6e38\u6d88\u8d39\u4f1a\u6709\u4e00\u4e2a\u5185\u5728\u7684\u589e\u957f\uff0c\u8fd9\u4e2a\u589e\u957f\u4e0d\u53d7\u81ea\u7531\u652f\u914d\u6536\u5165\u5f71\u54cd\u3002
\u63a5\u4e0b\u6765\u505a\u4e00\u4e2a\u591a\u5143\u7ebf\u6027\u56de\u5f52\u5206\u6790\u3002\u7ed3\u679c\u5982\u4e0b\uff1a
\u6a21\u578b\u6458\u8981
\u6a21\u578b R R \u65b9 \u8c03\u6574\u7684 R \u65b9 \u4f30\u8ba1\u7684\u6807\u51c6\u5dee
1 .997a .994 .991 4.027
a. \u9884\u6d4b\u53d8\u91cf:(\u5e38\u91cf), \u95f2\u6687\u65f6\u95f4, \u5e74\u5ea6, \u81ea\u7531\u652f\u914d\u6536\u5165\u3002
\u7cfb\u6570(a)
\u975e\u6807\u51c6\u5316\u7cfb\u6570 \u6807\u51c6\u5316\u7cfb\u6570
\u6a21\u578b B \u6807\u51c6\u8bef Beta t \u663e\u8457\u6027
1 \uff08\u5e38\u91cf\uff09 -16301.485 3364.382 -4.845 .005
\u5e74\u5ea6 8.432 1.688 .545 4.995 .004
\u81ea\u7531\u652f\u914d\u6536\u51651.187 .362 .378 3.281 .022
\u95f2\u6687\u65f6\u95f4 1.167 .559 .109 2.090 .091
a. \u56e0\u53d8\u91cf: \u65c5\u6e38\u6d88\u8d39
\u4ece\u6a21\u578b\u6458\u8981\u4e2d\u53ef\u4ee5\u77e5\u9053R\u65b9\u503c\u4e3a0.994\uff0c\u8bf4\u660e\u8be5\u56de\u5f52\u6a21\u578b\u53ef\u4ee5\u89e3\u91ca99.4%\u7684\u6837\u672c\uff0c\u5df2\u7ecf\u975e\u5e38\u9ad8\u4e86\u3002
\u4ece\u7cfb\u6570\u8868\u4e2d\u53ef\u4ee5\u77e5\u9053\uff0c\u5e38\u91cf\u3001\u5e74\u5ea6\u3001\u6536\u5165\u7684\u663e\u8457\u6027\u90fd\u6bd4\u8f83\u5f3a\uff0c\u53ef\u4ee5\u63a5\u53d7\uff0c\u95f2\u6687\u65f6\u95f4\u7684\u663e\u8457\u6027\u5c31\u6bd4\u8f83\u4f4e\uff0c\u53ef\u4ee5\u8003\u8651\u628a\u95f2\u6687\u65f6\u95f4\u8fd9\u4e2a\u53d8\u91cf\u5254\u9664\u3002
\u7b2c\u4e00\u6b21\u56de\u5f52\u6a21\u578b\u4e3a\uff1a
\u65c5\u6e38\u6d88\u8d39=-16301.485 + 8.432*\u5e74\u5ea6 + 1.187*\u81ea\u7531\u652f\u914d\u6536\u5165 + 1.167*\u95f2\u6687\u65f6\u95f4
\u628a\u95f2\u6687\u65f6\u95f4\u5254\u9664\u540e\u518d\u505a\u4e00\u6b21\u56de\u5f52\u5206\u6790\uff0c\u7ed3\u679c\u5982\u4e0b\uff1a
\u6a21\u578b\u6458\u8981
\u6a21\u578b R R \u65b9 \u8c03\u6574\u7684 R \u65b9 \u4f30\u8ba1\u7684\u6807\u51c6\u5dee
1 .995a .989 .986 5.031
a. \u9884\u6d4b\u53d8\u91cf:(\u5e38\u91cf), \u81ea\u7531\u652f\u914d\u6536\u5165, \u5e74\u5ea6\u3002
\u7cfb\u6570(a)
\u975e\u6807\u51c6\u5316\u7cfb\u6570 \u6807\u51c6\u5316\u7cfb\u6570
\u6a21\u578b B \u6807\u51c6\u8bef Beta t \u663e\u8457\u6027
1 \uff08\u5e38\u91cf\uff09 -16381.422 4203.201 -3.897 .008
\u5e74\u5ea6 8.510 2.108 .550 4.036 .007
\u81ea\u7531\u652f\u914d\u6536\u51651.433 .427 .457 3.352 .015
a. \u56e0\u53d8\u91cf: \u65c5\u6e38\u6d88\u8d39
R\u65b9\u4e3a0.989\uff0c\u62df\u5408\u5ea6\u5f88\u9ad8\uff0c\u53ef\u4ee5\u63a5\u53d7\u3002
\u56de\u5f52\u6a21\u578b\u4e3a\uff1a \u65c5\u6e38\u6d88\u8d39=-16381.422 + 8.510*\u5e74\u5ea6 + 1.433*\u81ea\u7531\u652f\u914d\u6536\u5165
\u7b2c\u4e8c\u6b21\u56de\u5f52\u6a21\u578b\u6240\u6709\u7cfb\u6570\u663e\u8457\u6027\u90fd\u5f88\u5f3a\uff0c\u53ef\u4ee5\u63a5\u53d7\u3002\u7b2c\u4e00\u4e2a\u6a21\u578b\u548c\u7b2c\u4e8c\u4e2a\u6a21\u578b\u62df\u5408\u5ea6\u90fd\u975e\u5e38\u9ad8\uff0c\u4e24\u4e2a\u90fd\u53ef\u4ee5\u63a5\u53d7\uff0c\u770b\u4f60\u559c\u6b22\u54ea\u4e2a\u3002
\u6765\u5e74\u6536\u5165\u589e\u52a010%\u7684\u8bdd\uff0c\u8bb0\u4f4f\u8fd8\u8981\u52a0\u4e0a\u5e74\u5ea6\u7684\u5f71\u54cd\u3002
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