B选项是不是有点问题

问题如下：

An actuary at an insurance company is asked to estimate an ordinary least squares estimation (OLS) regression model to analyze company performance. The actuary is concerned that important variables could be omitted in the OLS regression model, resulting in omitted variable bias which would reduce the accuracy of the result. When does omitted variable bias occur?

选项：

A.

Omitted variable bias occurs when the omitted variable is correlated with all of the included independent variables and is a determinant of the dependent variable.

B.

Omitted variable bias occurs when the omitted variable is correlated with at least one of the included independent variables and is a determinant of the dependent variable.

C.

Omitted variable bias occurs when the omitted variable is independent of the included independent variables and is a determinant of the dependent variable.

D.

Omitted variable bias occurs when the omitted variable is independent of the included independent variables but is not a determinant of the dependent variable.

解释：

中文解析：

当模型不恰当地省略了一个或多个变量，这些变量是因变量的关键决定因素并且与一个或多个其他包含的自变量相关时，就会出现遗漏变量偏差。省略变量偏差会导致回归参数的高估或低估。

Omitted variable bias occurs when a model improperly omits one or more variables that are critical determinants of the dependent variable and are correlated with one or more of the other included independent variables. Omitted variable bias results in an over- or under-estimation of the regression parameters.