SPSS學(xué)習(xí)筆記之-多因素方差分析

區(qū)組號(hào)營(yíng)養(yǎng)素1營(yíng)養(yǎng)素2營(yíng)養(yǎng)素123456781變量視圖:建立3數(shù)據(jù)視圖:如下圖:區(qū)組號(hào)用1-8表示，營(yíng)養(yǎng)素號(hào)用1-32值標(biāo)簽N區(qū)組1區(qū)組12區(qū)組33區(qū)組34區(qū)組35區(qū)組36區(qū)組37區(qū)組38區(qū)組3營(yíng)養(yǎng)素1營(yíng)養(yǎng)素1營(yíng)養(yǎng)素2營(yíng)養(yǎng)素3均值差N區(qū)組1營(yíng)養(yǎng)素150.100.營(yíng)養(yǎng)素258.200.營(yíng)養(yǎng)素364.500.總計(jì)57.6003區(qū)組營(yíng)養(yǎng)素47.800.營(yíng)養(yǎng)素248.500.營(yíng)養(yǎng)素362.400.總計(jì)52.9003區(qū)組營(yíng)養(yǎng)素53.100.營(yíng)養(yǎng)素253.800.營(yíng)養(yǎng)素358.600.總計(jì)55.1673區(qū)組營(yíng)養(yǎng)素63.500.營(yíng)養(yǎng)素264.200.營(yíng)養(yǎng)素372.500.總計(jì)66.7333區(qū)組營(yíng)養(yǎng)素71.200.營(yíng)養(yǎng)素268.400.營(yíng)養(yǎng)素379.300.總計(jì)72.9673區(qū)組營(yíng)養(yǎng)素41.400.營(yíng)養(yǎng)素245.700.營(yíng)養(yǎng)素338.400.總計(jì)41.8333區(qū)組營(yíng)養(yǎng)素61.900.營(yíng)養(yǎng)素253.000.營(yíng)養(yǎng)素351.200.總計(jì)55.3675.72923區(qū)組8營(yíng)養(yǎng)素142.200.營(yíng)養(yǎng)素239.800.營(yíng)養(yǎng)素346.200.總計(jì)42.7333.23323總計(jì)營(yíng)養(yǎng)素153.90010.6963營(yíng)養(yǎng)素253.9509.4932營(yíng)養(yǎng)素359.13713.5499總計(jì)55.66311.1547源III和df均方F校正模型2521.294a9280.14411.517截距74359.534174359.5343056.985區(qū)組2376.3767339.48213.956營(yíng)養(yǎng)素144.917272.4592.979誤差340.5431424.324總計(jì)77221.37024校正的總2861.836計(jì)a.R方=.881(調(diào)整R方=3【W(wǎng)LS該對(duì)話框中還有兩個(gè)元素:左下方的“平方和”用于選擇方差分析模型類別，有1型到4型四種，如果你搞不清他們之間的區(qū)別，使用默認(rèn)的3“包含截距”復(fù)選框，用于選擇是