log in   + Create a Quiz


created by tomowsiak on 30 Mar 12, enabled by jimmy
Medium level (58% of success)    11 questions - 5 players
An experiment is performed 3 times. Each time a model is fit. This means we generate how many slopes? How many y-intercepts?
Using the question above, is it accurate to say that the slope and the y-intercept are both random variables? That is, they vary as we repeat our experiment and fit the model again and again?
When we fit a model, the line gives what exactly?
The picture below shows what happens when we fit a model. Is this true or false?
It looks as though the two variables are col-linear. Which means what exactly?
It looks as though the two variables are col-linear. Which means what exactly?
The hypothesis stated below are correct for a modeling using a multiple regressors.
The table shown below is correct. That is, it shows the correct entries for multiple regression. n-p=n-(k+1)=n-k-1 k is number of predictors
Prediction intervals are wider then confidence intervals because they depend on the current estimate of the mean and the spread of the data. That is, we fit a model and reach in a grab a new datapoint
If I conduct a regression analysis, and compute t stats. for each regression coefficient, then the square of these is what?
It's possible to conduct partial regression tests on the contribution made by several predictors, given that several others are already in the model.
I fit a model first with 1 regressor and then 2. R^2 adjusted increases. This means what?
Quiz.biz does not certify the quizzes to be reliable, contact Tomowsiak !

Comment this Quiz
If you want to rank and comment this quizz, login in or create an account !