In statistical hypothesis tests, 'Type I error' refers to the situation in which...
Answer : B
Which of the following statements are true about Maximum Likelihood Estimation?
(i) MLE can be applied even if the error terms are not i.i.d. normal.
(ii) MLE involves integrating a likelihood function or a log-likelihood function.
(iii) MLE yields parameter estimates that are consistent.
Answer : C
In a multiple linear regression, the significance of R2 can be tested using which distribution?
Answer : C
You want to test the hypothesis that a population parameter of a regression model is zero. Your alternative hypothesis is that 0. Denote by SD() the estimated standard deviation of , and by MEAN() the estimated mean of . Which test statistic is appropriate, and what is its distribution?
Answer : D
Which of the following is not a direct cause of autocorrelation or heteroskedasticity in the residuals of a regression model?
Answer : B
Consider the following distribution data for a random variable X: What is the mean and variance of X?
Answer : D
Let X be a random variable distributed normally with mean 0 and standard deviation 1. What is the expected value of exp(X)?
Answer : A