Skip to content

Module 4 challenge :Regression Analysis: Simplify Complex Data Relationships (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. Chi-square goodness of fit checks if an observed _____ variable follows expected distribution.

categorical
❌ dependent
❌ absolute
❌ continuous


2. One-way ANOVA examines relationship between:

one categorical independent variable and one continuous dependent variable
❌ null and alternative variables
❌ multiple categorical independent variables + one continuous dependent variable
❌ categorical independent + categorical dependent


3. Comparing means of 1 continuous DV across 4 groups formed by 2 categorical variables →

Two-way analysis of variance
❌ One-way ANOVA
❌ T-test
❌ Post hoc test


4. Test that performs pairwise comparison while controlling error rate:

Post hoc test
❌ Chi-square test
❌ ANOVA
❌ Bias-variance test


5. Relationship between categorical + continuous variables for defects →

Analysis of variance (ANOVA)
❌ Analysis of independence
❌ Analysis of covariance
❌ Analysis of regression


6. MANOVA = _____ analysis of variance.

multivariate
❌ model
❌ multiple
❌ mean


7. Two continuous dependent variables + 1 categorical independent variable →

MANOVA
❌ ANOVA
❌ ANCOVA
❌ MANCOVA


8. Which is NOT a required assumption for ANOVA?

Sample sizes must be approximately equal across groups. (NOT required)
❌ Normal distribution of dependent values
❌ Equal variances
❌ Independent observations


9. In Chi-square GOF, the more ___, the higher the probability under H₀:

More degrees of freedom
❌ Fewer degrees of freedom
❌ Fewer observed values
❌ More hypotheses


10. In Chi-square test for independence, large test statistic means:

There is a strong likelihood that the two variables are associated.
❌ Observed = expected
❌ Sample size too small
❌ Variables are independent


🧾 Summary Table of All Answers

Q No. Correct Answer(s) Incorrect Options
1 Categorical Dependent, Absolute, Continuous
2 One categorical IV + one continuous DV Null/alt variables, Multiple IVs, Categorical DV
3 Two-way ANOVA One-way ANOVA, T-test, Post hoc
4 Post hoc test Chi-square, ANOVA, Bias-variance
5 ANOVA Independence, ANCOVA, Regression
6 Multivariate Model, Multiple, Mean
7 MANOVA ANOVA, ANCOVA, MANCOVA
8 Sample sizes ≈ equal (NOT required) Normality, Equal variances, Independence
9 More degrees of freedom Fewer df, Fewer samples, More hypotheses
10 Variables likely associated Obs=exp, Sample too small, Variables independent