You are using the Apriori algorithm to determine the likelihood that a person who owns a home has a good credit score. You have determined that the confidence for the rules used in the algorithm is > 75%. You calculate lift = 1.011 for the rule, "People with good credit are homeowners".
What can you determine from the lift calculation?

After which phase of the data analytics lifecycle should you determine if the model is robust enough?

Which statement about linear regression is correct?

Trend, seasonal, and cyclical are components of a time series.
What is another component?

You have been assigned to do a study of the daily revenue effect of a pricing model of online transactions.
You have tested all the theoretical models in the previous model planning stage, and all tests have yielded statistically insignificant results.
What is your next step?