A sample of adults were randomly selected for a study on the relationship between annual income and having a credit card. Let the predictor be the annual income and the response be proportion of people having at least on card for the given level of income. Comment on each of the following diagnosis plots and explain a. which assumption can be checked by looking at the given plot, and b. whether or not the assumption is met. Residual plot  a. What  assumption can be checked by looking at the given plot? b. Is the assumption met? Type Y (for yes) or N (for no)

Name the “three” Clustering algorithms within cluster analysis. All 3 should be listed (one in each row). 1)   2) 3)

A large, national grocery retailer tracks productivity and costs of its facilities closely. Data were obtained from a single distribution center for a one-year period. Each data point for each variable represents one week of activity. The variables included are the number of cases shipped (x1), the indirect costs of the total labor hours as a percentage (x2), a qualitative regressor called holiday that is coded 1 if the week has a holiday and 0 otherwise (x3), and the total labor hours (Y). Use the R output below to answer the following questions.  Interpret what the coefficient of -13.16602 for the continuous variable X2 means in predicting the response variable. Write a complete sentence.

Which of the following is a variable selection technique based on shrinking coefficients to zero?

What is the benefit of using interactive Data Visualization?

Which of the following is not a supervised learning algorithm?

Name the “three” Clustering algorithms within cluster analysis. All 3 should be listed (one in each row). 1)   2) 3)

Which of the following is a variable selection technique based on shrinking coefficients to zero?

What is the benefit of using interactive Data Visualization?

What technique is used to reduce the number of features in a dataset while preserving important information?