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Questions › CUET-PG › CUET-PG 2023 Shift 2 › Q71
4 marks, −1Econometrics › Linear regression and OLS › The regression model and the OLS estimatorEasyabout 1 min

CUET-PG 2023 Shift 2 Question 71: Linear regression and OLS

In the expression Yi=β^1+β^2Xi+u^iY_i = \hat{\beta}_1 + \hat{\beta}_2 X_i + \hat{u}_iYi​=β^​1​+β^​2​Xi​+u^i​, u^i\hat{u}_iu^i​ gives the difference between

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In the expression Yᵢ = β̂₁ + β̂₂ Xᵢ + ûᵢ, ûᵢ gives the difference between (A) the actual and estimated Y values (B) the actual and estimated X values (C) the actual and estimated values of β₁ (D) actual and estimated values of β₂

Also written as: In the expression Y_i = beta_hat_1 + beta_hat_2 X_i + u_hat_i, u_hat_i gives the difference between

Linear regression and OLS has come up 74 times in 7 exams since 2008.

What this question tests

This question is on The regression model and the OLS estimator, part of Linear regression and OLS in Econometrics.

What a linear regression model is and how ordinary least squares picks the fitted line.

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