In a two regressor regression model, if you exclude one of the relevant variables then
A. it is no longer reasonable to assume that the errors are homoskedastic.
B. OLS is no longer unbiased, but still consistent.
C. you are no longer controlling for the influence of the other variable.
D. the OLS estimator no longer exists.
查看答案
Omitted variable bias
A. will always be present as long as the regression R2 < 1.
B. is always there but is negligible in almost all economic examples.
C. exists if the omitted variable is correlated with the included regressor but is not a determinant of the dependent variable.
D. exists if the omitted variable is correlated with the included regressor and is a determinant of the dependent variable.
The following OLS assumption is most likely violated by omitted variables bias:
A. E(ui ∣![]()
Xi) = 0
B. (Xi, Yi) i=1,..., n are i.i.d draws from their joint distribution
C. there are no outliers for Xi, ui
D. there is heteroskedasticity
跟单员通过生产管理部门每日的（）统计，调查每天的成品数量及累计完成数量，以了解生产进度并加以跟踪控制，以确保能按订单要求准时交货。
A. 生产日报表
B. 周生产计划
C. 月生产计划
D. 季生产计划
周生产计划应在月生产计划和周出货计划基础上进行充分协调，应该考虑的因素有（）
A. 人力负荷是否可以充分支持
B. 机器设备是否准备好
C. 物料是否到位
D. 工艺流程是否有问题
E. 生产环境是否适合生产产品工艺的要求
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