Question

MULTIPLE CHOICE. Choose the one alternative that best completes the statement or answers the question.

6) Consider the following dataset:

ID | V | W | X | Y | Z |

1 | 10 | 2 | 8 | Group 1 | A |

2 | 2 | 8 | 3 | Group 1 | A |

3 | 2 | 8 | 5 | Group 2 | A |

4 | 2 | 10 | 2 | Group 2 | A |

5 | 5 | 2 | 5 | Group 2 | A |

6 | 5 | 5 | 3 | Group 1 | B |

7 | 10 | 7 | 1 | Group 2 | B |

8 | 2 | 9 | 10 | Group 1 | B |

9 | 8 | 10 | 6 | Group 2 | C |

10 | 9 | 6 | 3 | Group 1 | C |

Which of the following methods can be used to look at the effect of V on X?

A) Binary logistic regression B) Simple regression

C) Paired samples t test D) One way ANOVA

E) Association analysis F) Cluster analysis

G) Multiple regression H) Independent samples t test

J) Multinomial logistic regression K) One sample t test

7) Consider the above dataset:

Which of the following methods can be used to look at the effect of X and V on Y?

A) One way ANOVA B) Cluster analysis

C) Association analysis D) Paired samples t test

E) Binary logistic regression F) Independent samples t test

G) Multinomial logistic regression H) Simple regression

J) One sample t test K) Multiple regression

8) Consider the above dataset:

Which of the following methods can be used to look at the effect of X and Z on Y?

A) Simple regression B) One sample t test

C) One way ANOVA D) Association analysis

E) Paired samples t test F) Multiple regression

G) Multinomial logistic regression H) Binary logistic regression

J) Independent samples t test K) Cluster analysis

9) Which of the following operators can be used in RapidMiner to specify an ID variable when the ID variable exists in the original data file?

A) Generate ID B) Set role

C) Clustering (k-medoids) D) Map clustering on labels

E) Rename F) Linear regression

G) Multiply H) Clustering (k-means)

J) Retrieve K) Performance (Classification)

L) Normalize M) Generalized linear model

N) Select attributes O) X-means

P) Detect outlier (Distances) Q) FP-Growth

R) Apply model S) Generate attributes

T) Performance (Regression) U) Filter examples

10) Which of the following operators can be used in RapidMiner to convert numeric variable values into z-scores?

A) Rename B) Linear regression

C) Set role D) FP-Growth

E) Map clustering on labels F) Clustering (k-medoids)

G) Retrieve H) X-means

J) Generate attributes K) Generate ID

L) Normalize M) Apply model

N) Performance (Regression) O) Filter examples

P) Multiply Q) Generalized linear model

R) Detect outlier (Distances) S) Performance (Classification)

T) Clustering (k-means) U) Select attributes

11) Which of the following operators can be used in RapidMiner to get R-square value from a multiple regression model?

A) Apply model B) Linear regression

C) X-means D) Generate ID

E) Generate attributes F) Detect outlier (Distances)

G) Performance (Regression) H) Multiply

J) Map clustering on labels K) FP-Growth

L) Clustering (k-medoids) M) Performance (Classification)

N) Rename O) Retrieve

P) Generalized linear model Q) Clustering (k-means)

R) Normalize S) Filter examples

T) Select attributes U) Set role

12) Which of the following operators can be used in RapidMiner to create copies of a dataset?

A) Map clustering on labels B) Multiply

C) Detect outlier (Distances) D) Rename

E) Select attributes F) Clustering (k-means)

G) X-means H) Set role

J) Apply model K) FP-Growth

L) Linear regression M) Normalize

N) Generate attributes O) Generalized linear model

P) Performance (Classification) Q) Generate ID

R) Clustering (k-medoids) S) Performance (Regression)

T) Retrieve U) Filter examples

Answer #1

6) The method that can be used to look at the effect of V on X is Simple Regression

Option-(B)

7) The method that can be used to look at the effect of X and V on Y is Binary logistic regression

Option-(E)

8) The method that can be used to look at the effect of X and Z on Y is Binary logistic regression

Option-(H)

9) The operators can be used in Rapid Miner to specify an ID variable when the ID variable exists in the original data file is clustering (k-means)

Option-(H)

10) The operators can be used in Rapid Miner to convert numeric variable values into z-scores is normalize.

Option-(L)

11) The operators can be used in Rapid Miner to get R-square value from a multiple regression model is performance (Regression).

Option-(G)

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