[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$f0rmMDxrsJCLSfKPevz7P1LGnjYEgf0t7HOWRUjK089c":3},{"answer":4,"createTime":5,"id":6,"options":7,"origin":13,"question":17,"related":18,"source":30,"type":31},[],"2023-11-08 20:56:21",104425839,[8,9,10,11,12],"n","n-1","n-2","2n-1","2(n-1)",{"courseId":14,"courseImg":15,"courseName":16},"9c650bd00d038adb942651750f41c9db","https:\u002F\u002Ftihai-oss-cloud.itihey.com\u002Fimg\u002F48eba3395437dd881b1b9275a0ad1028.png","医学统计学","直线回归系数假设检验,其自由度为",[19,32,42,52,62,72,79,82,92,102],{"answer":20,"createTime":21,"id":22,"options":23,"question":29,"source":30,"type":31},[],"2023-11-08 20:56:20",104425827,[24,25,26,27,28],"截距改变","回归系数改变","两名都改变","两者都不改变","以上情况都可能","直线回归中,如果自变量X乘以一个不为0或1的常数,则有","v1",0,{"answer":33,"createTime":21,"id":34,"options":35,"question":41,"source":30,"type":31},[],104425829,[36,37,38,39,40],"增加样本含量","令X值按近其均数","减小剩余标准差","减小可信度","以上都可以","利用直线回归估让X值所对应Y值的均数可信区间时,( )可以减小区间长度",{"answer":43,"createTime":21,"id":44,"options":45,"question":51,"source":30,"type":31},[],104425832,[46,47,48,49,50],"b1=b2","tr1=tr2","b1&gt; b2","tb1= tr1","tb1= tb2","如果两样本r1=r2,n1&gt;n2,那么",{"answer":53,"createTime":21,"id":54,"options":55,"question":61,"source":30,"type":31},[],104425834,[56,57,58,59,60],"各观测点距直线的纵向距离相等","各观测点距直线的纵向距离平方和最小","各观测点距直线的垂直距离相等","各观测点距直线的垂直距离平方和最小","各观测点距直线的纵向距离最小","用最小二乘法确定直线回归方程的原则是",{"answer":63,"createTime":21,"id":64,"options":65,"question":71,"source":30,"type":31},[],104425836,[66,67,68,69,70],"纵向距离之和最小","纵向距离的平方和最小","垂直距离之和最小","垂直距离的平方和最小","纵向距离的平方和最大","用最小二乘法确定直线回归方程的原则是各观察点距直线的",{"answer":73,"createTime":5,"id":74,"options":75,"question":78,"source":30,"type":31},[],104425837,[24,25,76,27,77],"两者都改变","相关系数改变","Y=14+4X是1~7岁儿童以年龄(岁)估计体质量(市斤)的回归方程,若体质量换成国际单位 kg,则此方程",{"answer":80,"createTime":5,"id":6,"options":81,"question":17,"source":30,"type":31},[],[8,9,10,11,12],{"answer":83,"createTime":5,"id":84,"options":85,"question":91,"source":30,"type":31},[],104425841,[86,87,88,89,90],"Y的离散程度","mg src=&quot;file:\u002F\u002F\u002FC:\u002FUsers\u002FJunfang\u002FAppData\u002FLocal\u002FTemp\u002Fmsohtmlclip1\u002F01\u002Fclip_image001.png&quot;&gt; B.&Yacute;对Y的离散程度","Y和X的离散程度","Y对&Yacute;的离散程度","X的离散程度","SY.x表示",{"answer":93,"createTime":5,"id":94,"options":95,"question":101,"source":30,"type":31},[],104425842,[96,97,98,99,100],"相关系数越大","回归方程的显著程度越高","应变量的变异越大","应变量的变异越小","自变量对应变量的影响越大","回归分析的决定系数R2越接近于1,说明",{"answer":103,"createTime":5,"id":104,"options":105,"question":111,"source":30,"type":31},[],104425844,[106,107,108,109,110],"两变量关系密切的可能性较大","检验显著的可能性较大","决定系数R2较大","决定系数R2可能大也可能小","数量依存关系更密切","两组资料作回归分析,直线回归系数b较大的一组,表示"]