What is a common pitfall of extrapolation in regression?

Predicting outside the range of the observed data may produce unreliable estimates because the relationship may not hold beyond that range

Using a nonlinear model instead of a linear one

Having missing values in the dataset

Using too many predictor variables in the model

What does the distribution of a statistic computed from many bootstrap samples approximate?

The true value of the population parameter

The distribution of the original population

The sampling distribution of that statistic

The distribution of the original sample

In logistic regression, how is the odds ratio for a predictor interpreted?

The change in the log-odds for a one-unit increase in the predictor

The proportion of variance in the outcome explained by the predictor

The additive change in the probability of the outcome for a one-unit increase in the predictor

The multiplicative change in the odds of the outcome for a one-unit increase in the predictor

What does R-squared measure in a linear regression model?

The correlation between the predictors and the outcome

The average error of the predictions

The proportion of variance in the outcome variable explained by the predictors

The probability that the regression model is correct

A researcher wants to predict whether a customer will churn (yes/no) based on their monthly usage minutes and number of support calls. Which modeling approach is most appropriate?

Bootstrap the data and compute the mean churn rate

Linear regression with churn as the outcome

Logistic regression with churn as the outcome

Linear regression with usage minutes as the outcome and churn as a predictor

Python InstitutePCAD - Certified Associate in Data Analytics with Python

Domain 3Objective 2

Inferential Statistics PCAD-31 Practice Questions (Page 2)

Part of the Statistical Analysis domain, which accounts for 8.3% of the PCAD-31 exam. Python Institute does not publish an official question count, but from its 60-minute exam (~25–40 total, ~2–2 in this domain), expect 1–1 from this objective — we provide 33 practice questions to prepare you well beyond it. (estimate)

33questions here

7free pages

12concepts

8.3%of the exam

Questions 6–10

6foundation · easy
What is a common pitfall of extrapolation in regression?
Select an answer first
7foundation · easy
What does the distribution of a statistic computed from many bootstrap samples approximate?
Select an answer first
8foundation · easy
In logistic regression, how is the odds ratio for a predictor interpreted?
Select an answer first
9foundation · easy
What does R-squared measure in a linear regression model?
Select an answer first
10application · medium
A researcher wants to predict whether a customer will churn (yes/no) based on their monthly usage minutes and number of support calls. Which modeling approach is most appropriate?
Select an answer first

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