[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fl_uK4uJbyyr0-HHNmzlxOikvLe3AA5ACMcxEmETWBvM":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":30,"type":31},[],"2025-12-15 09:10:42",265890948,[8,9,10,11],"都是随机変量","都不是随机変量","一个是随机变量,一个不是随机变量","随机的或非随机的都可以",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},17,"53e1d2ef4961cca8eea3e23969ad2cb9","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F03a579384a6dc297c89809b582fcc767.png","默认课程","work_49090404","回归分析--客观题","进行相关分析时的两个变量( )",[21,32,41,44,53,62,71,80,89,98],{"answer":22,"createTime":5,"id":23,"options":24,"question":29,"source":30,"type":31},[],265890944,[25,26,27,28],"正相关关系和负相关关系","线性相关关系和非线性相关关系","函数关系与相关关系","简单相关关系和复杂相关关系","变量之间的关系可以分为( )","v1",0,{"answer":33,"createTime":5,"id":34,"options":35,"question":40,"source":30,"type":31},[],265890946,[36,37,38,39],"变量间的非独立关系","変量之同的因果关系","变量间的函数关系","变量间不确定性的依存关系","相关关系是指( )",{"answer":42,"createTime":5,"id":6,"options":43,"question":19,"source":30,"type":31},[],[8,9,10,11],{"answer":45,"createTime":5,"id":46,"options":47,"question":52,"source":30,"type":31},[],265890949,[48,49,50,51],"产量每增加一台,单位产品成本增加634元","产量每增加一台,单位产品成本减少1.2元","产量每增加一台,单位产品成本平均增加634元","产量每增加一台,单位产品成本平均减少1.2元","产量X台与单位产品成本Y元\u002F台之间的回归方程为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F016148decc61f3c276b23caf112efabc.png\">,这说明( )",{"answer":54,"createTime":5,"id":55,"options":56,"question":61,"source":30,"type":31},[],265890952,[57,58,59,60],"当x增加一个单位时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F07eb7964f67d40dc3ea35a05a809f47b.png\"> 增加b个单位","当x增加一个单位时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F07eb7964f67d40dc3ea35a05a809f47b.png\"> 平均增加b个单位","当 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F07eb7964f67d40dc3ea35a05a809f47b.png\"> 增加一个单位时,x增加b个单位","当 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F07eb7964f67d40dc3ea35a05a809f47b.png\"> 增加一个单位时,x平均增加b个单位","在总体回归直线 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F7481c9151cb0638631e85a9acf6518d1.png\"> 中,b表示( )",{"answer":63,"createTime":5,"id":64,"options":65,"question":70,"source":30,"type":31},[],265890954,[66,67,68,69],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F105ea6a7f34f62a947f7ea541317c579.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F9745bd89a55a266c4e033f7ad16e6bff.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fc6b1d5614c14988ae9806be5eccc30a9.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fe902fd23737e2c6d129fa05cc692bd3a.png\">","已知一组观测值 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F348addc9957cc22a97a9cbb0dabc6d61.png\"> 作出散点图后确定具有线性相关关系,若对于回归方程 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F59424f0b7ee81473902b2b883c182218.png\">,己知 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F60601a69c5b44f2cfeb4e598b977b2b4.png\">,利用最大似然估计法得到 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Ff8015ce88b14e3f483b84e73244bc946.png\">,则线性回归方程为( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":79,"source":30,"type":31},[],265890956,[75,76,77,78],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F2e254de1058aa40f4c2208e626c97136.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1198047ce8f41efb835ba9b280774335.png\">","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F8861228eac56a53f7035f1ca46fb9144.png\"> 为最小","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0de89dddd3db6353e35bd34d79f52683.png\"> 为最小","己知一元线性回归模型为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F33eac44907535d76dea726aa12251594.png\">,回归方程为 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F99879819aea62d19873cab6f7837e7da.png\">,有 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0d176e4551dfbd1cc61d6ad8f3e6c749.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F6dce6878fca86a74a5c1d243744de22e.png\">表示回归真实值,,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fce1f12012ac2201d0e92afcf605fe260.png\"> 表示回归估计值,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fda1852752e12d125701f9c158b323ccf.png\"> 表示标准误差估计值,斯下列说法正确的是( )",{"answer":81,"createTime":5,"id":82,"options":83,"question":88,"source":30,"type":31},[],265890958,[84,85,86,87],"\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,r=1","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,r=-1","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,r=0","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1e6630a88e7065c9c1394a62c114b736.png\"> 时,r=1或r=-1","已知一元线性回归模型为\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F33eac44907535d76dea726aa12251594.png\">,回归方程为 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F99879819aea62d19873cab6f7837e7da.png\">,有 \u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F0d176e4551dfbd1cc61d6ad8f3e6c749.png\">,\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fda1852752e12d125701f9c158b323ccf.png\"> 表示标准误差估计值,r表示相关系数,则下列说法正确的是( )",{"answer":90,"createTime":5,"id":91,"options":92,"question":97,"source":30,"type":31},[],265890959,[93,94,95,96],"昇方差性","序列相关","多重共线性","高拟合优度","在多元线性回归模型中,若某个解释变量对其余解释变量的判定系数接近于1,则表明模型中存在( )",{"answer":99,"createTime":5,"id":100,"options":101,"question":106,"source":30,"type":31},[],265890960,[102,103,104,105],"n=k","n<k","n≥30或n≥3(k+1)","n≥30","已知在多元线性回归模型中有k个自变量(即k个解释变量),则样本容量n满足( )"]