# Business Analysis Statistics Test #4

0%

#### A data collection with numerous variables that lack values is used to create a prediction model. What two issues might this model have? (Select two.)

Correct! Wrong!

Complete case analysis means that fewer observations will be used in the model building process.
New cases with missing values on input variables cannot be scored without extra data processing.

#### A logistic regression model is fitted by an analyst to determine whether a client will default on a loan or not. Agents, who each service 15-20 clients, are one of the predictors in the model. Model convergence is not achieved. The analyzed data is printed by the analyst, along with the breakdown of defaulted loans by agent. View a sample of the output below: What is the main cause of the model's inability to converge?

Correct! Wrong!

There is quasi-complete separation in the data.

#### A multiple linear regression model already exists with the addition of a non-contributing predictor variable (Pr > |t| =0.658). What will happen as a result?

Correct! Wrong!

An increase in R-Square

#### Choose the LOGISTIC procedure model statements that are equal. (Select two.)

Correct! Wrong!

Mode1 Purchase * Gender Age Region;
Mode1 Purchase * Gender|Age|Region @1;

#### A linear model includes the following features: a subordinate variable (y) a continuous predictor variable set of three (x1-x3) an individual category predictor variable (c1with 3 levels) Which SAS module does this model fit?

Correct! Wrong!

Proc glm data=sasuser.mlr;class c1;model y=c1 x1-x3 /solution;run;

Correct! Wrong!

33/2

#### When taken from: the total of the absolute deviations is at its minimum.

Correct! Wrong!

Explanation:
A dataset listed in ascending order is given a median value using a statistical technique (i.e., from smallest to largest value). The measure separates the dataset's lower and upper halves. The median is a measurement of central tendency together with mean and mode.

Correct! Wrong!

30

Correct! Wrong!

0.933

Correct! Wrong!