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GATE 2025 MT – Question 35

Engineering Mathematics · Probability and statistics · 1 mark · Numerical answer

A linear regression model was fitted to $(x,y)$ data. The total sum of squares and sum of squares of error are 1200 and 120, respectively. The coefficient of determination $R^2$ is ______ (rounded to one decimal place).

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Correct answer: 0.9 to 0.9

Explanation

The coefficient is R²=1−SSE/SST, where SST measures total variation and SSE residual variation. Therefore R²=1−120/1200=**0.9**. The fit explains 90% of the total sum of squares.