Since R factors are categorical variables, they are most closely related to which data classification level?
In which phase of the analytic lifecycle would you expect to spend most of the project time?
You are building a logistic regression model to predict whether a tax filer will be audited within the next two years. Your training set population is 1000 filers. The audit rate in your training data is 4.2%. What is the sum of the probabilities that the model assigns to all the filers in your training set that have been audited?
Refer to exhibit.You are asked to write a report on how specific variables impact your clients sales using a data set provided to you by the client. The data includes 15 variables that the client views as directly related to sales, and you are restricted to these variables only.After a preliminary analysis of the data, the following findings were made:1. Multicollinearity is not an issue among the variables2. Only three variablesA, B, and Chave significant correlation with salesYou build a linear regression model on the dependent variable of sales with the independent variables of A, B, and C. The results of the regression are seen in the exhibit.You cannot request additional datA. what is a way that you could try to increase the R2 of the model without artificially inflating it?
You have two tables of customers in your database. Customers in cust_table_1 were sent an e-mail promotion last year, and customers in cust_table_2 received a newsletter last year. Customers can only be entered in once per table. You want to create a table that includes all customers, and any of the communications they received last year. Which type of join would you use for this table?
You are using MADlib for Linear Regression analysis. Which value does the statement return?SELECT (linregr(depvar, indepvar)).r2 FROM zeta1;
