Ước lượng tham số của hàm hồi qui mẫu được sử dụng phương pháp đơn giản vả hiệu quả là:

Phương sai của những biến số tác động đến mô hình nhưng không được đưa vào mô hình

Phương sai của những biến số tác động đến mô hình nhưng được đưa vào mô hình

Cả a, b đều đúng

Cả a, b đều sai

4

5

6

7

Continuous

Cardinal

Ordinal

Nominal

Simple

Continuously compounded

Neither approach would allow us to do this validly

Either approach could be used and they would both give the same portfolio return

That OLS gives unbiased coefficient estimates

That OLS gives minimum variance coefficient estimates

That OLS gives minimum variance coefficient estimates only among the class of linear unbiased estimators

That OLS ensures that the errors are distributed normally

One minus the type II error

The confidence level

The size of the test

The size of the sample

We are 95% sure that the interval contains the true value of the parameter

We are 95% sure that our estimate of the coefficient is correct

We are 95% sure that the interval contains our estimate of the coefficient

In repeated samples, we would derive the same estimate for the coefficient 95% of the time

It captures omitted determinants of the dependent variable

To allow for the non-zero mean of the dependent variable

To allow for errors in the measurement of the dependent variable

To allow for random influences on the dependent variable

The probability of a Type I error is increased

The probability of a Type II error is increased

The rejection criterion has become more strict

The null hypothesis will be rejected less often

The residuals are positively autocorrelated

The residuals are negatively autocorrelated

There is no autocorrelation in the residuals

The test statistic has fallen in the intermediate region