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
Learn how to fit a simple regression model, check the assumptions of the ordinary least
squares linear regression method, and make predictions using the fitted model.
On March 1, 1984 the Wall Street Journal published data on the advertising spend and yield for
a number of commercial TV adverts. The advertisements were selected by an annual survey conducted
by Video Board Tests, Inc., a New York ad-testing company, based on interviews with 20,000 adults
who were asked to name the most outstanding TV commercial they had seen, noticed, and liked. The
retained impressions were based on a survey of 4,000 adults, in which regular product users were
asked to cite a commercial they had seen for that product category in the past week. Of interest
is fitting a model to describe the relationship, and making predictions using the model. For more
information see DASL Story: TV Advertising Yields.
In this tutorial you will perform the following