Business Analysis Statistics Test #4

Question 1

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.)

Accepted Answer

Complete case analysis means that fewer observations will be used in the model building process.

Answer

There will be a high rate of collinearity among input variables.

Answer

The model will likely be overfit.

Question 2

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?

Accepted Answer

There is quasi-complete separation in the data.

Answer

There are too many observations in the data.

Answer

There is collinearity among the predictors.

Answer

There are missing values in the data.

Question 3

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?

Accepted Answer

An increase in R-Square

Answer

No change in R-Square

Answer

A decrease in Mean Square Error

Answer

A decrease in R-Square

Question 4

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

Accepted Answer

Mode1 Purchase * Gender|Age|Region @1;

Answer

Mode1 Purchase * Gender | Age | Region;

Answer

Mode1 Purchase * Gender|Age|Region @2;

Question 5

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?

Accepted Answer

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

Answer

Proc glm data=sasuser.mlr;class c1 x1 x2 x3;model y=c1 x1-x3 /solution;run;

Answer

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

Answer

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

Question 6

The data 13, 15, 16, 17, 19, and 20's median are as follows:

Accepted Answer

33/2

Answer

30/1

Answer

30/2

Answer

34/2

Question 7

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

Accepted Answer

Median

Answer

Mode

Answer

Mean

Answer

None of the above

Question 8

If a series' maximum value is 25, and its range is 15, then the series' maximum value is:

Accepted Answer

10

Answer

5

Answer

20

Answer

30

Question 9

A debate competition with 10 competitors had a rank correlation coefficient of 0.6, according to the calculations. Later on, it was found that the difference in some participants' ranks was actually 8 instead of 3. How to calculate the right correlation coefficient:

Accepted Answer

0.933

Answer

0.751

Answer

0.854

Answer

0.652

Question 10

The dispersion is referred to as follows if all exam scores tend to cluster around the mean:

Accepted Answer

Small

Answer

Normal

Answer

Symmetrical

Answer

Large