Question 1

Data used in a supervised problem to build the predictive model is known as

Accepted Answer

A)  the terminal node. 
B)  the test set. 
C)  meta data. 
D)  the training set. 
E)  none of the above. 
A)  the terminal node. 
B)  the test set. 
C)  meta data. 
D)  the training set. 
E)  none of the above.

Question 2

Which is considered a data mining classification problem?

Accepted Answer

A)  Whether or not a customer is interested in eco-friendly travel products? 
B)  How much a customer spends annually on travel related products? 
C)  How much a customer spends annually on international specialty food items? 
D)  Both B and C. 
E)  All of the above. 
A)  Whether or not a customer is interested in eco-friendly travel products? 
B)  How much a customer spends annually on travel related products? 
C)  How much a customer spends annually on international specialty food items? 
D)  Both B and C. 
E)  All of the above.

Question 3

In a data warehouse, which of the following variable(s) is/are demographic?

Accepted Answer

A)  Number of magazine subscriptions. 
B)  Monthly expenditures on cleaning supplies. 
C)  Homeowner (Yes or No). 
D)  Both A and B. 
E)  All of the above. 
A)  Number of magazine subscriptions. 
B)  Monthly expenditures on cleaning supplies. 
C)  Homeowner (Yes or No). 
D)  Both A and B. 
E)  All of the above.

Question 4

Use the following information 
Suppose data mining is employed on supermarket chains and travel industry dataBwarehouse in order to answer the following questions. On the line to the right, indicate whether these involve a classification (C) or regression (R) problem.
-Whether or not a customer is interested in eco-friendly travel products? ____

Accepted Answer

The answer of Use the following information 
Suppose data mining...

Question 5

A linear model is fit to estimate the diameter of maple trees based on age. According to the scatterplot and residual plots shown below, which of the following is true?

Accepted Answer

A)  Assuming the pattern continues into the future, if we use this model to predict the
Diameter of a maple tree that is 50 years old it would be too low. 
B)  Assuming the pattern continues into the future, if we use this model to predict the
Diameter of a maple tree that is 50 years old it would be too high. 
C)  Re-expressing these data by taking the logarithm of age would improve this
Model. 
D)  Both A and B. 
E)  Both B and C. 
A)  Assuming the pattern continues into the future, if we use this model to predict the
Diameter of a maple tree that is 50 years old it would be too low. 
B)  Assuming the pattern continues into the future, if we use this model to predict the
Diameter of a maple tree that is 50 years old it would be too high. 
C)  Re-expressing these data by taking the logarithm of age would improve this
Model. 
D)  Both A and B. 
E)  Both B and C.

Question 6

In a data warehouse, which of the following variables is/are transactional?

Accepted Answer

A)  Type of cell phone plan. 
B)  Zip code. 
C)  Household income. 
D)  Both A and B. 
E)  All of the above. 
A)  Type of cell phone plan. 
B)  Zip code. 
C)  Household income. 
D)  Both A and B. 
E)  All of the above.

Question 7

Suppose the goal of data mining using this data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year. What technique might be most appropriate for achieving this goal?

Accepted Answer

The answer of Suppose the goal of data mining using...

Question 8

Data not used in building the model but used to evaluate the performance of the model is known as

Accepted Answer

A)  the terminal node. 
B)  the test set. 
C)  meta data. 
D)  the training set. 
E)  None of the above. 
A)  the terminal node. 
B)  the test set. 
C)  meta data. 
D)  the training set. 
E)  None of the above.

Question 9

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the calculated t-
Statistic to test whether the regression slope is significant is

Accepted Answer

A)  10.99 
B)  47.97 
C)  31.2 
D)  6.93 
E)  5.58485 
A)  10.99 
B)  47.97 
C)  31.2 
D)  6.93 
E)  5.58485

Question 10

In a data warehouse, which of the following variables is/are transactional?

Accepted Answer

A)  Amount spent on organic food products. 
B)  Number of international flights taken annually. 
C)  Types of eco-friendly products purchased. 
D)  Both A and B. 
E)  All of the above. 
A)  Amount spent on organic food products. 
B)  Number of international flights taken annually. 
C)  Types of eco-friendly products purchased. 
D)  Both A and B. 
E)  All of the above.

Question 11

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden. In data mining this is referred to as what type of
Problem?

Accepted Answer

A)  Regression. 
B)  Transactional. 
C)  Unsupervised. 
D)  Classification. 
E)  None of the above. 
A)  Regression. 
B)  Transactional. 
C)  Unsupervised. 
D)  Classification. 
E)  None of the above.

Question 12

Using this regression equation: Salary = 37.2 + 1.49 Years' Experience to predict salary for pharmacists with 10 years of experience gives the following results. Which Of the following is true? $$\begin{array} { l l c c } 
\text { Fit } & \text { SE Fit } & 95 \% \text { CI } & 95 \% \text { PI } \
52.05 & 1.81 & ( 48.01,56.08 ) & ( 38.96,65.13 )
\end{array}$$

Accepted Answer

A)  95% of pharmacists with 10 years of experience earn between $38,960 and
$65,130. 
B)  95% of pharmacists with 10 years of experience earn between $48,010 and
$56,080. 
C)  We are 95% confident that a particular pharmacist who has 10 years of experience
Earns between $38,960 and $65,130. 
D)  We are 95% confident that a particular pharmacist who has 10 years of experience
Earns between $48,010 and $56,080 
E)  95% of pharmacists with 10 years experience on average earn between $48,010 And $56,080. 
A)  95% of pharmacists with 10 years of experience earn between $38,960 and
$65,130. 
B)  95% of pharmacists with 10 years of experience earn between $48,010 and
$56,080. 
C)  We are 95% confident that a particular pharmacist who has 10 years of experience
Earns between $38,960 and $65,130. 
D)  We are 95% confident that a particular pharmacist who has 10 years of experience
Earns between $48,010 and $56,080 
E)  95% of pharmacists with 10 years experience on average earn between $48,010 And $56,080.

Question 13

Which is not a phase of the data mining process?

Accepted Answer

A)  Business understanding. 
B)  Data preparation. 
C)  Modeling. 
D)  Deployment. 
E)  None of the above. 
A)  Business understanding. 
B)  Data preparation. 
C)  Modeling. 
D)  Deployment. 
E)  None of the above.

Question 14

In a data warehouse, which of the following variables is/are demographic?

Accepted Answer

A)  Number of residents in household. 
B)  Gender of head of household. 
C)  Monthly electricity usage. 
D)  Both A and B. 
E)  All of the above. 
A)  Number of residents in household. 
B)  Gender of head of household. 
C)  Monthly electricity usage. 
D)  Both A and B. 
E)  All of the above.

Question 15

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over
The next year. What technique is most appropriate for achieving this goal?

Accepted Answer

A)  Neural network. 
B)  Supervised problem. 
C)  Tree model. 
D)  Nodal network. 
E)  None of the above. 
A)  Neural network. 
B)  Supervised problem. 
C)  Tree model. 
D)  Nodal network. 
E)  None of the above.

Question 16

Use the following information 
Suppose data mining is employed on supermarket chains and travel industry dataBwarehouse in order to answer the following questions. On the line to the right, indicate whether these involve a classification (C) or regression (R) problem.
-How much a customer spends annually on travel related products? ____

Accepted Answer

The answer of Use the following information 
Suppose data mining...

Question 17

Suppose the goal of data mining using this data warehouse was to predict whether a customer's expenditures on international specialty food items would increase, decrease or stay the same in the next year. What technique might be most appropriate for achieving this goal?

Accepted Answer

The answer of Suppose the goal of data mining using...

Question 18

Which of the following statements about a residual plot is true?

Accepted Answer

A)  A curved pattern indicates nonlinear association between the variables. 
B)  A pattern of increasing spread indicates the predicted values become less reliable
As the explanatory variable increases. 
C)  If all of the residuals are very small, the model will predict accurately. 
D)  It should not be used if the regression results are not significant. 
E)  It cannot be used to analyze linear association. 
A)  A curved pattern indicates nonlinear association between the variables. 
B)  A pattern of increasing spread indicates the predicted values become less reliable
As the explanatory variable increases. 
C)  If all of the residuals are very small, the model will predict accurately. 
D)  It should not be used if the regression results are not significant. 
E)  It cannot be used to analyze linear association.

Question 19

According to the following regression analysis, the correlation between average annual cash bonus and average annual pay using α = 0.05 is Regression Analysis: Cash Bonus versus Pay
The regression equation is: Cash Bonus $= - 4877 + 0.245$ Pay
$\begin{array} { l r r r r } \text { Predictor } & \text { Coef } & \text { SE Coef } & T & \mathrm {~T} \ \text { Constant } & - 4877 & 9106 & - 0.54 & 0.599 \ \text { Pay } & 0.2453 & 0.1079 & 2.27 & 0.036 \end{array}$
$$\mathrm { S } = 13188.6 \quad \mathrm { R } - \mathrm { Sq } = 22.3 \%$$

Accepted Answer

A)  not significantly different from zero. 
B)  negative but not significantly different from zero. 
C)  positive and significantly different from zero. 
D)  negative and significantly different from zero. 
E)  Cannot be determined from the information given. 
A)  not significantly different from zero. 
B)  negative but not significantly different from zero. 
C)  positive and significantly different from zero. 
D)  negative and significantly different from zero. 
E)  Cannot be determined from the information given.

Question 20

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the standard error of
The slope for this estimated regression equation is

Accepted Answer

A)  3.381 
B)  0.2149 
C)  5.58485 
D)  82.8 
E)  1.4882 
A)  3.381 
B)  0.2149 
C)  5.58485 
D)  82.8 
E)  1.4882

Data used in a supervised problem to build the predictive model is known as

Which is considered a data mining classification problem?

In a data warehouse, which of the following variable(s) is/are demographic?

A linear model is fit to estimate the diameter of maple trees based on age. According to the scatterplot and residual plots shown below, which of the following is true?

In a data warehouse, which of the following variables is/are transactional?

Suppose the goal of data mining using this data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year. What technique might be most appropriate for achieving this goal?

Data not used in building the model but used to evaluate the performance of the model is known as

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the calculated t- Statistic to test whether the regression slope is significant is

In a data warehouse, which of the following variables is/are transactional?

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden. In data mining this is referred to as what type of Problem?

Using this regression equation: Salary = 37.2 + 1.49 Years' Experience to predict salary for pharmacists with 10 years of experience gives the following results. Which Of the following is true? Fit SE Fit 95\% CI 95\% PI 52.05 1.81 (48.01,56.08) (38.96,65.13)

Which is not a phase of the data mining process?

In a data warehouse, which of the following variables is/are demographic?

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over The next year. What technique is most appropriate for achieving this goal?

Suppose the goal of data mining using this data warehouse was to predict whether a customer's expenditures on international specialty food items would increase, decrease or stay the same in the next year. What technique might be most appropriate for achieving this goal?

Which of the following statements about a residual plot is true?

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the standard error of The slope for this estimated regression equation is

Data and Decisions

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal and Other Continuous Distributions

Surveys and Sampling

Sampling Distributions and Confidence Intervals for Proportions

Testing Hypotheses About Proportions

Confidence Intervals and Hypothesis Tests for Means

Comparing Two Means

Inference for Counts: Chi-Square Tests

Inference for Regression

Multiple Regression

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Exam 16: Introduction to Data Mining

Data used in a supervised problem to build the predictive model is known as

Which is considered a data mining classification problem?

In a data warehouse, which of the following variable(s) is/are demographic?

A linear model is fit to estimate the diameter of maple trees based on age. According to the scatterplot and residual plots shown below, which of the following is true?

In a data warehouse, which of the following variables is/are transactional?

Suppose the goal of data mining using this data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over the next year. What technique might be most appropriate for achieving this goal?

Data not used in building the model but used to evaluate the performance of the model is known as

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the calculated t- Statistic to test whether the regression slope is significant is

In a data warehouse, which of the following variables is/are transactional?

Suppose data mining is used to determine whether or not a household subscribes to magazines about home and garden. In data mining this is referred to as what type of Problem?

Using this regression equation: Salary = 37.2 + 1.49 Years' Experience to predict salary for pharmacists with 10 years of experience gives the following results. Which Of the following is true? Fit SE Fit 95\% CI 95\% PI 52.05 1.81 (48.01,56.08) (38.96,65.13)

Which is not a phase of the data mining process?

In a data warehouse, which of the following variables is/are demographic?

Suppose the goal of data mining in a data warehouse was to predict whether a household's telecommunication needs will increase, decrease or stay the same over The next year. What technique is most appropriate for achieving this goal?

Suppose the goal of data mining using this data warehouse was to predict whether a customer's expenditures on international specialty food items would increase, decrease or stay the same in the next year. What technique might be most appropriate for achieving this goal?

Which of the following statements about a residual plot is true?

Data were collected for a sample of 12 pharmacists to determine if years of experience and salary are related. Based on the results below, the standard error of The slope for this estimated regression equation is

Data and Decisions

Displaying and Describing Categorical Data

Displaying and Describing Quantitative Data

Correlation and Linear Regression

Randomness and Probability

Random Variables and Probability Models

The Normal and Other Continuous Distributions

Surveys and Sampling

Sampling Distributions and Confidence Intervals for Proportions

Testing Hypotheses About Proportions

Confidence Intervals and Hypothesis Tests for Means

Comparing Two Means

Inference for Counts: Chi-Square Tests

Inference for Regression

Multiple Regression

Filters