The following is the estimation results for a multiple linear regression model using the Ordinary Least Squares (OLS) method:

Y=₀+₁X₁+₂X₂+₃X₃+

SUMMARY OUTPUT

Regression Statistics

R-Square 0.737

Regression Standard Error (S) 395.10

Observations 68

Estimation results

Coeff Std. Error

Intercept -11.039 5.109

X₁ 0.469 0.340

X₂ -0.555 0.425

X₃ -1.215 0.332

Use the fitted model to make a prediction for Y when X₁ = 0. 218, X₂ = -1.037, and X₃ = 1.370. The predicted Y value is (keep three decimals):

Group of answer choices

6.531

-12.026

-9.513

8.236