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 |