CFA 2026 Level I Quant Methods Regression Free Quiz 1

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CFA 2026 Level I Quant Methods Regression Free Quiz 1

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CFA 2026 Level I Quant Methods Regression Free Quiz 1

Practice CFA 2026 Level I Quant Methods MCQs from Regression. Get instant results with Explanation.

General5 MCQs

1. What is the formula for the simple linear regression model?

A. Y = b0 + b1 * X + εB. Y = b0 + b1 * X = εC. Ŷ = b0 + b1 * XD. Y = b0 + b1 * X1 + b2 * X2 + ε

2. What does the slope coefficient (b1) represent in a simple linear regression?

A. The value of Y when X = 0B. The change in Y for a one-unit change in XC. The correlation between X and YD. The proportion of variance explained

3. What does the intercept (b0) represent in a simple linear regression?

A. The change in Y for a one-unit change in XB. The correlation between X and YC. The value of Y when X = 0D. The predicted value of Y

4. What does the least squares method minimize?

A. Minimizes the sum of absolute deviations.B. Maximizes the R².C. Minimizes the sum of squared errors.D. Minimizes the sum of squared residuals.

5. What is the residual in regression analysis?

A. Y - ŶB. Ŷ - YC. Y - XD. X - Y

General5 MCQs

6. What is the total sum of squares (SST)?

A. Σ(Ŷi - Ȳ)²B. Σ(Yi - Ȳ)²C. Σ(Yi - Ŷi)²D. Σ(Yi - Ŷi)² / (n - 2)

7. What is the regression sum of squares (SSR)?

A. Σ(Yi - Ȳ)²B. Σ(Yi - Ŷi)²C. Σ(Ŷi - Ȳ)²D. Σ(Yi - Ŷi)² / (n - 2)

8. What is the error sum of squares (SSE)?

A. Σ(Yi - Ȳ)²B. Σ(Ŷi - Ȳ)²C. Σ(Yi - Ŷi)² / (n - 2)D. Σ(Yi - Ŷi)²

9. What is the coefficient of determination (R²)?

A. SSR / SSTB. SSE / SSTC. √(SSR / SST)D. SSR / (n - 2)

10. What is the standard error of the estimate (SEE)?

A. √(SSR / (n - k - 1))B. √(SSE / (n - k - 1))C. √(SST / (n - 1))D. SSE / (n - k - 1)

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⚡ Test Pattern (Total: 90 MCQs):

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