Statistical Modeling Quiz :Statistics Foundations (Meta Marketing Analytics Professional Certificate) Answers 2025

Question 1

Consider the assumptions in simple linear regression. What is the assumption of normality?

• ❌ The independent variables do not affect one another.

• ✅ The data creates a normal distribution.

• ❌ The minimum sample is 20.

• ❌ All independent variables have similar variance.

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Question 2

Which one of the following is a modeling technique in clustering analysis?

• ❌ I. Simple linear regression

• ✅ II. K-means

• ❌ III. Logistic regression

• ❌ All of them

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Question 3

In time series analysis, what does the assumption of dependence mean?

• ✅ That the dependent variable depends on the independent variable.

• ❌ That all the observations come from the same place.

• ❌ That time must be one of the independent variables.

• ❌ That the dependent variable does not change over time.

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Question 4

In time series analysis, one of the independent variables must be time.

• ❌ False

• ✅ True

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Question 5

What is the difference between a classification model and a regression model?

• ❌ A classification model is used with numerical data, while a regression model works with qualitative variables.

• ❌ A classification model predicts a quantitative variable, while a regression model predicts a qualitative variable.

• ✅ A classification model predicts a qualitative variable, while a regression model predicts a quantitative variable.

• ❌ A classification model is used with qualitative data, while a regression model works with categorical data.

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Question 6

What is the assumption equal prior probability for K-means clustering?

• ✅ That each cluster has the same probability of happening.

• ❌ That each data value has the same probability of occurring.

• ❌ That one of the clusters is more likely to occur than the others.

• ❌ That each cluster has the same number of data points.

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Question 7

In time series there are three assumptions: minimum sample size, dependence, and:

• ❌ independence.

• ❌ normality.

• ✅ stationarity.

• ❌ homogeneity.

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Question 8

In time series analysis, what is the assumed minimum sample size if time is measured in quarters?

• ✅ 40 quarters of information.

• ❌ 50 quarters of information.

• ❌ 100 quarters of information.

• ❌ 4 quarters of information.

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Question 9

Which of the following is an assumption in simple linear regression?

I. Independence
II. Sphericity
III. Dependence

• ✅ I.

• ❌ All of them are.

• ❌ III.

• ❌ II.

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Question 10

Which of the following is a type of quantitative variable?

• ❌ Dependent.

• ❌ Categorical.

• ❌ Independent.

• ✅ Continuous.

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🧾 Summary Table

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