[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fjWqMi6JaJGIwodZ8Pd1EtrJ93fy0Z9_zF8Zkb8Nc1xw":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":10,"question":17,"related":18,"source":28,"type":111},[],"2023-06-12 17:09:45",60468838,[8,9],"正确","错误",{"count":11,"courseId":12,"courseImg":13,"courseName":14,"workId":15,"workName":16},30,"8dba70ae93d04e43a7b37709a042107a","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F139255f22ecbbfd23d7ae8d5523c058f.png","计量经济学","work_28036769","模拟考试(2022-2023-2)","在面板数据模型中,豪斯曼检验的原假设是固定效应模型正确",[19,30,39,48,57,66,75,84,93,102],{"answer":20,"createTime":5,"id":21,"options":22,"question":27,"source":28,"type":29},[],60468817,[23,24,25,26],"样本现象","总体现象","随机误差现象","被解释变量现象","多重共线性是一种( )","v1",0,{"answer":31,"createTime":5,"id":32,"options":33,"question":38,"source":28,"type":29},[],60468818,[34,35,36,37],"内生解释变量问题","异方差问题","设定偏误问题","多重共线性问题","Ramsy的RESET检验目的是判断回归模型是否存在( )问题",{"answer":40,"createTime":5,"id":41,"options":42,"question":47,"source":28,"type":29},[],60468819,[43,44,45,46],"广义差分法","OLS","GLS","TLS","加权最小二乘法是( )的一个特例",{"answer":49,"createTime":5,"id":50,"options":51,"question":56,"source":28,"type":29},[],60468820,[52,53,54,55],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2e71759f2df9328dafffa6e43187c858.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc2c6af15bbd60d4fd71b945d0ca28bfc.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F061669ee8163d174bdb992c1da2c5e53.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1c943bd545e882e71769c7c96c1558a1.png\">","在一元线性回归模型中,样本回归方程可表示为( )",{"answer":58,"createTime":5,"id":59,"options":60,"question":65,"source":28,"type":29},[],60468821,[61,62,63,64],"预测检验","计量经济学检验","统计检验","经济意义检验","计量经济学模型最基本的检验是( )",{"answer":67,"createTime":5,"id":68,"options":69,"question":74,"source":28,"type":29},[],60468822,[70,71,72,73],"1","n-k","n","n-1","一元线性回归分析中的回归平方和ESS的自由度是( )",{"answer":76,"createTime":5,"id":77,"options":78,"question":83,"source":28,"type":29},[],60468823,[79,80,81,82],"滞后变量","外生变量","前定变量","内生变量","在简单线性回归模型中,认为具有一定概率分布的随机变量是( )",{"answer":85,"createTime":5,"id":86,"options":87,"question":92,"source":28,"type":29},[],60468824,[88,89,90,91],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7ceafb0435e01974164d1d960ff81f15.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc5fece3cdde774f8755ff9d84abc2c72.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fb2bb0c028a189454c55c0b4e3d1e293f.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F330754e9d912b7aa5b138e3027a95061.png\">","以下选项中,正确表达了序列相关的是( )",{"answer":94,"createTime":5,"id":95,"options":96,"question":101,"source":28,"type":29},[],60468825,[97,98,99,100],"无偏的,非有效的","有偏的,有效的","无偏的,有效的","有偏的,非有效的","如果回归模型违背了同方差假定,最小二乘估计量( )",{"answer":103,"createTime":5,"id":104,"options":105,"question":110,"source":28,"type":29},[],60468826,[106,107,108,109],"0.75","75%","2.75","0.75%","根据样本资料估计得出人均消费支出Y对人均收入X的回归模型为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F22a05a66d1a96137fae6311a1cb23398.png\">,这表明人均收入每增加1%,人均消费支出将增加( )",3]