Refer to the exhibit.

You are assigned to do an end of the year sales analysis of 1, 000 different products, based on the transaction table. Which column in the end of year report requires the use of a window function?

Refer to the Exhibit.

In the Exhibit, the table shows the values for the input Boolean attributes “A”, “B”, and “C”. It also shows the values for the output attribute “class”. Which decision tree is valid for the data?

Refer to the exhibit.

You are building a decision tree. In this exhibit, four variables are listed with their respective values of info-gain.
Based on this information, on which attribute would you expect the next split to be in the decision tree?

Refer to the exhibit.

You have created a density plot of purchase amounts from a retail website as shown. What should you do next?

Refer to the exhibit.

In the exhibit, the x-axis represents the derived probability of a borrower defaulting on a loan. Also in the exhibit, the pink represents borrowers that are known to have not defaulted on their loan, and the blue represents borrowers that are known to have defaulted on their loan.
Which analytical method could produce the probabilities needed to build this exhibit?

Refer to the exhibit.

In the exhibit, a correlogram is provided based on an autocorrelation analysis of a sample dataset.
What can you conclude based only on this exhibit?

Refer to the exhibit.

You have plotted the distribution of savings account sizes for your bank. How would you proceed, based on this distribution?

Refer to the Exhibit.

In the Exhibit. For effective visualization, what is the chart’s primary flaw?

Refer to the 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 variables
2. Only three variablesA, B, and Chave significant correlation with sales
You 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.
Which interpretation is supported by the analysis?

Which activity might be performed in the Operationalize phase of the Data Analytics Lifecycle?