CertNexus AIP-210 Exam - Topic 7 Question 52 Discussion

Actual exam question for CertNexus's AIP-210 exam

Question #: 52
Topic #: 7

[All AIP-210 Questions]

R-squared is a statistical measure that:

ACombines precision and recall of a classifier into a single metric by taking their harmonic mean.

DRepresents the extent to which two random variables vary together.

CIs the proportion of the variance for a dependent variable thaf' s explained by independent variables.

BExpresses the extent to which two variables are linearly related.

Show Suggested Answer

Suggested Answer: C

R-squared is a statistical measure that indicates how well a regression model fits the data. R-squared is calculated by dividing the explained variance by the total variance. The explained variance is the amount of variation in the dependent variable that can be attributed to the independent variables. The total variance is the amount of variation in the dependent variable that can be observed in the data. R-squared ranges from 0 to 1, where 0 means no fit and 1 means perfect fit.

by Anthony at Jan 25, 2026, 11:25 AM

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Kimi

16 days ago

I remember practicing a question where R-squared was used to compare models, but I can't recall if a higher value always means a better model.

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Timmy

21 days ago

I think R-squared indicates how well the data fits the regression line, but I'm not entirely sure about the exact interpretation.

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Wenona

26 days ago

R-squared is a goodness-of-fit measure that indicates the percentage of the variation in the dependent variable that is explained by the independent variables in the regression model. I'll make sure I have a solid understanding of how to interpret it.

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Azalee

1 month ago

R-squared is the coefficient of determination, which ranges from 0 to 1 and represents the proportion of the variance in the dependent variable that is predictable from the independent variables. It's an important metric for assessing model fit.

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Cornell

1 month ago

Hmm, R-squared... I know it has something to do with the proportion of variance in the dependent variable that is predictable from the independent variables. But the exact definition is escaping me right now.

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Tiffiny

1 month ago

R-squared tells you how much of the variation in the dependent variable is explained by the independent variables in the model. It's a key statistic to look at when evaluating regression results.

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Keneth

2 months ago

I think R-squared is a measure of how well the regression model fits the data, but I'm not totally sure. I'll need to review my notes on that.

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