We are receiving a lot of questions about relevant analyses in the Analyse-it Method Validation edition to help in evaluating new diagnostic tests in the fight against COVID-19. Below are some quick links that will help, but contact us if you have questions - we are working as normal.
Also see our latest blog post: Sensitivity/Specificity and The Importance of Predictive Values for a COVID-19 test
In many cases the purpose of model fitting is to make predictions about the response
given a value of the predictor.
It is important to remember that making predictions outside
the observed range of the data (known as extrapolation) is risky. It is impossible to be
sure that the fitted relationship extends beyond the observed range.
The Predict Y panel is added to the analysis task pane.
For a Budget of 100 million $ the average retained impressions per week is 64.9
million. The 95% confidence interval (CI) 50.2 to 79.5 million is the uncertainty in the
mean estimate. The 95% prediction interval (PI) 18.2 to 111.6 is the interval we would
expect a single future observations to lie within.