Question 1

No extreme outliers is one of the four main binomial logistic regression assumptions. What are the other three? Select all that apply.

Accepted Answer

Linearity, Independent observations, No multicollinearity (CORRECT)

Question 2

Logit is the logarithm of the odds of a given probability.

Accepted Answer

True (CORRECT)

Question 3

Fill in the blank: The maximum likelihood estimation is a technique used for estimating the beta parameters that _____ the likelihood of a model producing the observed data.

Accepted Answer

maximize (CORRECT)

Question 4

When building a logistic regression model, what does CLF stand for?

Accepted Answer

Classifier (CORRECT)

Question 5

Which package do you use to create a plot of your model to visualize its results?

Accepted Answer

Seaborn package (CORRECT)

Question 6

The confusion matrix is a graphical representation of how accurate a classifier is at predicting what for a categorical variable?

Accepted Answer

Labels (CORRECT)

Question 7

Fill in the blank: _____ measures the proportion of positive predictions that were true positives.

Accepted Answer

Precision (CORRECT)

Question 8

Which of the following provide additional information about the likelihood of a result being merely by chance? Select all that apply.

Accepted Answer

Confidence intervals, P-value (CORRECT)

Question 9

Which model might a data professional consider first if the outcome variable is binary?

Accepted Answer

Binomial logistic regression (CORRECT)

Question 10

A data professional can use recall to evaluate a logistic regression model. What other metrics can be used to meet this goal? Select all that apply.

Accepted Answer

Precision, Confusion matrices, P-value (CORRECT)

Question 11

Fill in the blank: Binomial logistic regression is a technique that models the _____ of an observation falling into one of two categories, based on one or more independent variables.

Accepted Answer

Probability (CORRECT)

Question 12

A data professional calculates a logarithm of the odds of a given probability. What are they calculating?

Accepted Answer

Logit (CORRECT)

Question 13

Fill in the blank: Maximum likelihood estimation is a technique for estimating the _____ that maximize the likelihood of the model producing the observed data.

Accepted Answer

beta parameters (CORRECT)

Question 14

Following the no extreme outlier assumption, when are outliers detected?

Accepted Answer

After the model is fit (CORRECT)

Question 15

What graphical representation demonstrates a classifier’s accuracy at predicting the labels for a categorical variable?

Accepted Answer

Confusion matrix (CORRECT)

Question 16

A data professional calculates precision in logistic regression results. They have 101 true positives, 63 true negatives, 4 false positives, and 2 false negatives. What is the calculation for precision?

Accepted Answer

101 / (101 + 4) (CORRECT)

Question 17

A data professional calculates accuracy in logistic regression results. They have 99 true positives, 91 true negatives, and 248 total predictions. What is the calculation for accuracy?

Accepted Answer

(99 + 91) / 248 (CORRECT)

Question 18

A data professional calculates recall in logistic regression results. They have 145 true positives, 128 true negatives, 4 false positives, and 2 false negatives. What is the calculation for recall?

Accepted Answer

145 / (145 + 2) (CORRECT)

Question 19

What technique models the probability of an observation falling into one of two categories, based on one or more independent variables?

Accepted Answer

Binomial logistic regression (CORRECT)

Question 20

What is the logit formula?

Accepted Answer

Logarithm of p divided by 1 minus p (CORRECT)

Question 21

What technique estimates the beta parameters that increase the likelihood of the model producing observed data?

Accepted Answer

Maximum likelihood estimation (CORRECT)

Question 22

Which regression assumption states that, if multiple X variables are in a model, they should not be highly correlated with one another?

Accepted Answer

No multicollinearity (CORRECT)

Question 23

Fill in the blank: A confusion matrix is a graphical representation of how accurate a classifier is at _____ the labels for a categorical variable.

Accepted Answer

predicting (CORRECT)

Question 24

A data professional calculates precision in logistic regression results. They have 89 true positives, 83 true negatives, 3 false positives, and 1 false negative. What is the calculation for precision?

Accepted Answer

89 / (89 + 3) (CORRECT)

Question 25

A data professional calculates accuracy in logistic regression results. They have 82 true positives, 75 true negatives, and 202 total predictions. What is the calculation for accuracy?

Accepted Answer

(82 + 75) / 202 (CORRECT)

Question 26

A data professional calculates recall in logistic regression results. They have 91 true positives, 84 true negatives, 6 false positives, and 5 false negatives. What is the calculation for recall?

Accepted Answer

91 / (91 + 5) (CORRECT)

Question 27

Logit includes which other probability formula?

Accepted Answer

Odds (CORRECT)

Question 28

Fill in the blank: A confusion matrix is a graphical representation of how accurate a classifier is at predicting the labels for a _____ variable.

Accepted Answer

Categorical (CORRECT)

Question 29

Precision measures the proportion of positive predictions that were false positives.

Accepted Answer

False (CORRECT)

Question 30

A data professional calculates accuracy in logistic regression results. They have 87 true positives, 94 true negatives, and 222 total predictions. What is the calculation for accuracy?

Accepted Answer

(87 + 94) / 222 (CORRECT)

Question 31

A data professional calculates recall in logistic regression results. They have 99 true positives, 80 true negatives, 7 false positives, and 4 false negatives. What is the calculation for recall?

Accepted Answer

99 / (99 + 4) (CORRECT)

Question 32

Fill in the blank: Maximum likelihood estimation is a technique for _____ the beta parameters that maximize the likelihood of a model producing the observed data.

Accepted Answer

estimating (CORRECT)

Question 33

For the binomial logistic regression linearity assumption, there should be a linear relationship between each X variable and what logit probability?

Accepted Answer

Y equals 0 (CORRECT)

COURSE 5: REGRESSION ANALYSIS: SIMPLIFY COMPLEX DATA RELATIONSHIPS

Module 4: Advanced Hypothesis Testing

GOOGLE ADVANCED DATA ANALYTICS PROFESSIONAL CERTIFICATE

Complete Coursera Study Guide

TABLE OF CONTENT

INTRODUCTION – Advanced Hypothesis Testing

Learning Objectives

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: THE CHI-SQUARED TEST

1. The chi-squared goodness of fit test determines whether an observed categorical variable follows an expected distribution.

2. Which test determines whether two categorical variables are associated with each other?

3. Fill in the blank: The chi-squared statistic equals the sum of the observed number minus the expected number, squared, divided by the _____ number.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: ANALYSIS OF VARIANCE

1. Which of the following statements accurately describe t-tests and analyses of variance? Select all that apply.

2. Which of the following are analysis of variance (ANOVA) tests? Select all that apply.

3. Fill in the blank: A post hoc test performs a pairwise comparison between all available groups while controlling for the _____.

PRACTICE QUIZ: TEST YOUR KNOWLEDGE: ANCOVA, MANOVA, and MANCOVA

1. Which statistical technique better isolates the relationship between a single categorical variable of interest and the Y variable?

2. Which of the following statements accurately describe ANCOVA and linear regression? Select all that apply.

3. What is the key difference between MANCOVA and MANOVA?

QUIZ: MODULE 4 CHALLENGE

1. Fill in the blank: The _____ determines whether an observed categorical variable follows an expected distribution.

2. What examines the relationship between categorical variables and continuous variables?

3. A data analytics team at a technical support provider works to identify the expected outcome of a customer policy update. They compare the means of one continuous dependent variable based on three groups of two categorical variables. What type of test does this scenario describe?

4. The post hoc test performs a pairwise comparison between all available groups while controlling for what?

5. A data professional needs to answer a question about company financials. They study the relationship between categorical and continuous variables to control for the effect of variables that are unrelated to the financial question. What type of statistical technique do they use?

6. Fill in the blank: The acronym MANOVA means _____ analysis of variance.

8. What is the group of statistical techniques that test the difference of means between three or more groups?

9. A data professional at an online retailer wants to understand the expected outcome of an upcoming sale. They perform a test that compares the means of one continuous dependent variable based on five groups of two categorical variables. What type of test does this scenario describe?

10. What test performs a pairwise comparison between all available groups while controlling for the error rate?

12. A data professional compares how two or more continuous variables vary according to categorical independent variables. What statistical technique are they using?

13. Fill in the blank: The chi-squared goodness of fit test determines whether an observed _____ variable follows an expected distribution.

14. A data analytics team wants to solve a problem about employee retention. They study the relationship between categorical and continuous variables to ensure all variables are relevant to the retention issues. What type of statistical technique do they use?

15. Fill in the blank: When using _____, the independent variables must be categorical and the outcome variables must be continuous.

17. A statistician wants to determine if weight loss differs significantly based on certain diets. His dependent variable is amount of weight lost (in kgs), and his independent variable is diet (vegan, low-carb, or omnivore). Which statistical test is most appropriate?

18. Fill in the blank: Analysis of variance examines the relationship between _____.

19. Fill in the blank: The chi-squared _____ of fit test determines whether an observed categorical variable follows an expected distribution.

20. A junior data analyst at a fabric supplier works to identify the expected outcome of a new product introduction. They compare the means of one continuous dependent variable based on four groups of two categorical variables. What type of test does this scenario describe?

21. Fill in the blank: The chi-squared test for independence determines whether _____ categorical variables are associated with each other.

22. Fill in the blank: Analysis of variance is a group of statistical techniques that test the difference of means between _____ groups.

23. Covariates are the variables that are directly relevant to the question to be answered in an analysis of covariance test.

CONCLUSION – Advanced Hypothesis Testing

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