spss因子分析論文-全文預(yù)覽
【正文】 e input data sources, that each evaluation charts, to analysis in city municipal facilities which factor is more important. This paper introduces the 31 regions city of urban facilities six index, year end has a road (km), the length of the end of actual road area (square meters), the city bridge (a), urban drainage pipe length (km), urban sewage, processing power (square meters), the city street lamp (light). Use data analysis software SPSS, get in municipal facilities all indexes, the correlation of the ponent list, table and load factors to reflect each factor matrix, the correlation of different variables, the variation can by what factors explain. Through the factor, it can be seen that the proportion of urban public utilities which index is more important. Key word: factor analysis, SPSS, data analysis, and the correlation 。 參考文獻(xiàn)： [1] 羅應(yīng)婷，楊玉娟， SPSS 統(tǒng)計(jì)分析從基礎(chǔ)到實(shí)踐 [M]。 因子得分系數(shù)矩陣中，得出了各個(gè)變量的線性組合表達(dá)的主成分。從圖中可看出，除第一主成分以外，其他的主成分特征根都很低。 截 圖一 截圖二是主成分列表，表
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