Skip to content

Module 2 challenge :Regression Analysis: Simplify Complex Data Relationships (Google Advanced Data Analytics Professional Certificate) Answers 2025

1. What is the calculation of observed – predicted?

Residual
❌ Coefficient
❌ Notion
❌ Parameter


2. Minimizing the sum of squared residuals is which method?

Ordinary least squares
❌ Residual coefficients
❌ R squared
❌ Mean absolute error


3. Waveform pattern violates which regression assumption?

Linearity
❌ Independent observation
❌ Normality
❌ Homoscedasticity


4. Scatterplot matrix shows _____ between variables.

relationships
❌ distances
❌ variability
❌ discrepancies


5. U-shaped residual pattern violates which assumption?

Linearity
❌ Independent observation
❌ Homoscedasticity
❌ Normality


6. Confidence band describes the _____ around predicted outcome.

uncertainty
❌ inaccuracy
❌ certainty
❌ accuracy


7. Which metric tells how much variation in X explains variation in Y?

R squared
❌ P-value
❌ MSE
❌ MAE


8. Which describe randomized controlled experiments?

It is typically used when arguing for causation between variables.
It is a study design that randomly assigns participants into groups.
❌ It cannot have a control group.
❌ Must control for every factor.


9. Correlation r = 0.75 — which statements are true?

Scatterplot slopes upward (r > 0).
Regression line is steeper than r = 0.5.
❌ Slopes downward (wrong: that’s r < 0).
Variables are positively correlated.


10. X and Y correlation r = 1 (perfect positive). Points always on line:

Regression line is:
Y = 2 + 1·X → (X, X+2)

(0, 2) → Yes
(1, 1) → Should be 3
(1, 3) → Correct
(0, 0) → Should be 2


🧾 Summary Table of All Answers

Q No. Correct Answer(s) Incorrect Options
1 Residual Coefficient, Notion, Parameter
2 Ordinary least squares Residual coefficients, R squared, MAE
3 Linearity Independent observation, Normality, Homoscedasticity
4 Relationships Distances, Variability, Discrepancies
5 Linearity Independent observation, Homoscedasticity, Normality
6 Uncertainty Inaccuracy, Certainty, Accuracy
7 R squared P-value, MSE, MAE
8 Used for causation; Random assignment No control group; Must control everything
9 Slopes upward; Steeper than r=0.5; Positively correlated Slopes downward
10 (0,2), (1,3) (1,1), (0,0)