Business Analysis Statistics Test #4

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.)

Please select 2 correct answers

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

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.

The model will likely be overfit.

Correct! Wrong!

The correct answer:
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?

There are too many observations in the data.

There is collinearity among the predictors.

There are missing values in the data.

There is quasi-complete separation in the data.

Correct! Wrong!

The correct answer:
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?

An increase in R-Square

No change in R-Square

A decrease in Mean Square Error

A decrease in R-Square

Correct! Wrong!

The correct answer:
An increase in R-Square

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

Please select 2 correct answers

Mode1 Purchase * Gender | Age | Region;

Mode1 Purchase * Gender|Age|Region @2;

Mode1 Purchase * Gender|Age|Region @1;

Mode1 Purchase * Gender Age Region;

Correct! Wrong!

The correct answer:
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?

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

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

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

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

Correct! Wrong!

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

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

30/1

30/2

33/2

34/2

Correct! Wrong!

The correct answer:
33/2

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

Median

Mode

Mean

None of the above

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.

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

5

10

20

30

Correct! Wrong!

The correct answer:
30

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:

0.751

0.854

0.933

0.652

Correct! Wrong!

The correct answer:
0.933

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

Normal

Small

Symmetrical

Large

Correct! Wrong!

The correct answer:
Small

Find the set's mode (8, 5, 7, 10, 15, 21, 5, 7, 2, 5)

5

10

25

20

Correct! Wrong!

The correct answer:
5

Business Analysis Statistics Test #4

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.)

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?

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

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?

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

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

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

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:

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

Find the set's mode (8, 5, 7, 10, 15, 21, 5, 7, 2, 5)

Related Post