Module 1 challenge :Regression Analysis: Simplify Complex Data Relationships (Google Advanced Data Analytics Professional Certificate) Answers 2025
1. Question 1
Regression models are groups of _____ techniques
✅ statistical
❌ exploratory data
❌ application
❌ coding
2. Question 2
Simple linear regression finds the _____ given X
✅ mean of Y
❌ median of Y
❌ regression coefficients
❌ Y-intercept
3. Question 3
PACE stage
✅ Plan
❌ Construct
❌ Execute
❌ Analyze
4. Question 4
Technique used
✅ Linear regression
❌ Ethical regression
❌ Logistic regression
❌ Complex regression
5. Question 5 — Select all that apply
✅ A dependent variable is the variable a model estimates.
✅ An independent variable is often represented by X.
❌ A dependent variable is often represented by X.
❌ An independent variable is the variable a model estimates.
6. Question 6
Two variables increase or decrease together
✅ Positive correlation
❌ Negative causation
❌ Positive causation
❌ Negative correlation
7. Question 7
Estimated beta (β̂) term
✅ Regression coefficients
❌ Parameter intercepts
❌ Regression intercepts
❌ Slope coefficients
8. Question 8
Modeling a categorical dependent variable
✅ Logistic regression
❌ Slope regression
❌ Coefficient regression
❌ Linear regression
9. Question 9
Function that relates dependent & independent variables
✅ Link function
❌ Link regression
❌ Coefficient regression
❌ Coefficient function
10. Question 10 — Select all that apply
For equation ŷ = 3 + 4X
✅ For each +1 in X → ŷ increases by 4
✅ y-intercept = 3
✅ ŷ = 3 when X = 0
✅ Slope = 4
(All four are correct)
🧾 Summary Table of All Answers
| Q No. | Correct Answer(s) | Incorrect Options |
|---|---|---|
| 1 | statistical | exploratory data, application, coding |
| 2 | mean of Y | median of Y, regression coefficients, Y-intercept |
| 3 | Plan | Construct, Execute, Analyze |
| 4 | Linear regression | Ethical, Logistic, Complex regression |
| 5 | Dependent variable is estimated; Independent = X | Dependent = X; Independent is estimated |
| 6 | Positive correlation | Negative causation, Positive causation, Negative correlation |
| 7 | Regression coefficients | Parameter intercepts, Regression intercepts, Slope coefficients |
| 8 | Logistic regression | Slope, Coefficient, Linear regression |
| 9 | Link function | Link regression, Coefficient regression, Coefficient function |
| 10 | All options correct | — |