.881.0010.49111.007.6030.9017.641.007.5829.007.8077.7017.390.001.0817.008.00155.6018.561.0033.9250.008.0060.8017.540.005.3019.008.6046.6017.161.002.92189.006.9095.0016.550.005.35106.007.7049.2017.630.008.1415.006.9039.2016.180.004.8539.008.3030.2015.051.002.2333.008.7022.8015.420.003.186.007.609.7015.180.000.60由此数据线性回归分析得模型汇总模型RR方调整R方标准估计的误差1.915”.837.7797.06935a.预测变量:(常量),上映时间,官微影响力,评分人数,主演影响力,大众评分。模型非标准化系数标准系数tSig.B标准误差试用版(常量)・50.04943.436-1.152.269官微影响力・.020.030-.079-.666.516大众评分11.0063.151.047.319.7541评分人数.074.015.7554.809.000主演影响力2.7081.970.1921.375.191上映时间・.1093.696-.004-.029.977a.因变量:票房所以设官微影响力为xl,大众评分为x2,评分人数为x3,主演影响力为x4,上映时间为x5,可得Y=-0.02*x1+1・006*x2+0.074*x3+2.708*x4・0.109*x5・50.049;(3)预测:绣春刀:官微影响力:55大众评分:8.4人数:52主演影响力:7.48+7.39=14.87上映时间:0.00票房:0.94预测票房:1.41由于影响电影票房的因素众多,且搜集数据难度大
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