DA0-002 Data Analysis Practice Question

An analyst runs a simple linear regression with an R² value of 0.85. Which interpretation is correct?

Answer choices

Why each option matters

Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.

Correct answer & explanation

✓

85% of the variance in the dependent variable is explained by the independent variable.

R² represents the proportion of variance in the dependent variable explained by the independent variable. 0.85 means 85% is explained.

Answer analysis

For each option: why learners choose it and why it is or isn't the right answer here.

✓
85% of the variance in the dependent variable is explained by the independent variable.
Why this is correct
R² is the coefficient of determination, indicating explained variance.
✗
The slope of the regression line is 0.85.
Why it's wrong here
R² is a measure of fit, not the slope.
✗
The independent variable is 85% correlated with the dependent variable.
Why it's wrong here
Correlation is measured by r, not R². R² is the square of the correlation coefficient.
✗
85% of the data points lie on the regression line.
Why it's wrong here
R² does not directly indicate the percentage of points on the line.

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