[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fD_3eYJhi8OWPTEyLl8J5DB2NVPA_APTIDtLG2SVHpxI":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":12,"question":19,"related":20,"source":31,"type":32},[],"2026-05-07 00:51:45",9364353,[8,9,10,11],"有一定关系","一定有直线关系","有正相关关系","有直线关系",{"count":13,"courseId":14,"courseImg":15,"courseName":16,"workId":17,"workName":18},131,"be6e9a66d8b60ba8211a57a4f8d5d253","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fcec5b56832d1691f16be0c7bece0c41e.jpg","医学统计学2024年春","884d93a54a084d2faeabb1086e919c4d","相关与回归练习题","|r|&gt;r 0.05(n-2)时,可认为两变量X与Y间_______",[21,33,42,51,61,71,81,86,96,106],{"answer":22,"createTime":5,"id":23,"options":24,"question":30,"source":31,"type":32},[],9364344,[25,26,27,28,29],"认为总体具有线性相关的理由越充分","抽样误差越大","结论可信度越大","两变量相关性越好","抽样误差越小","在直线相关性研究中,相关系数的统计推断P值越小,则( )","v1",0,{"answer":34,"createTime":5,"id":35,"options":36,"question":41,"source":31,"type":32},[],9364345,[37,38,39,40],"应变量Y是定量指标,而自变量X可以是任何类型的数据","两变量都要求为满足正态分布规律的随机变量","应变量Y是正态变量,而自变量X可以不满足正态的要求","自变量X是正态变量,而应变量Y可以不满足正态的要求","计算积差相关系数(即直线相关系数)要求()",{"answer":43,"createTime":5,"id":44,"options":45,"question":50,"source":31,"type":32},[],9364346,[46,47,48,49],"第2组数据两变量关系密切","很难说哪一组变量关系密切","第1组数据两变量关系密切","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002Fde536e5e33b8be1a0b4bf946fed6e741.png\">","两组数据进行相关性分析,一个r(0.01,v1)&gt;r1&gt;r(0.05,v1),,另一个r2&gt;r(0.01,v2),可认为________",{"answer":52,"createTime":5,"id":53,"options":54,"question":60,"source":31,"type":32},[],9364347,[55,56,57,58,59],"以上都可","散点图直接观察法代替","t 检验","秩和检验","\u003Cimg src=\"https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F1aa038206c77473b27b81989cd50f5a5.png\">检验","相关系数的检验可用( )",{"answer":62,"createTime":5,"id":63,"options":64,"question":70,"source":31,"type":32},[],9364348,[65,66,67,68,69],"两变量服从二元正态分布","两变量只要是测量指标就行","因变量Y 是定量指标,而自变量X 可以是任何类型的数据","因变量Y 是正态变量,而自变量X 可以不满足正态的要求","自变量X 是正态变量,而因变量Y 可以不满足正态的要求","计算积差相关系数(即直线相关系数)要求( )",{"answer":72,"createTime":5,"id":73,"options":74,"question":80,"source":31,"type":32},[],9364349,[75,76,77,78,79],"两变量间存在曲线关系","两变量间不存在任何关系","两变量间存在直线关系,不排除也存在某种曲线关系","两变量间不存在直线关系,但不排除存在某种曲线关系","两变量间的关系不能确定","积差相关系数(即直线相关系数)&rho;=0时,以下表述最佳的是( )",{"answer":82,"createTime":5,"id":83,"options":84,"question":85,"source":31,"type":32},[],9364350,[27,25,26,28,29],"在相关性研究中,相关系数的统计推断P 值越小,则( )",{"answer":87,"createTime":5,"id":88,"options":89,"question":95,"source":31,"type":32},[],9364351,[90,91,92,93,94],"儿童的身高与体重","母亲的职业与血型","儿童的性别与体重","儿童的性别与血型","母亲的职业与儿童的智商","线性相关分析可用于研究( )的数量关系",{"answer":97,"createTime":5,"id":98,"options":99,"question":105,"source":31,"type":32},[],9364352,[100,101,102,103,104],"没有绘散点图","有可能存在非线性相关","可能计算有误","应作秩相关分析","样本例数不够多","对兔子注射某药物后,测得一系列时间与所对应的药物浓度(有8对数据) ,将一对原始数据代入直线相关系数的计算公式计算出两变量间的相关系数r,并作假设检验得P&gt;0.05,结论认为两变量间无关.这个结论存在的问题是( )",{"answer":107,"createTime":5,"id":6,"options":108,"question":19,"source":31,"type":32},[],[8,9,10,11]]