Hi! I'm struggling with this assignment. Please solve. Thank you! ### Educational Resource: Linear Regression Analysis#### Linear Regression FormulaThe linear regression equation used is: \( \hat{Y} = 1.44X + 0.23 \)#### Problem StatementCalculate the missing predicted values of \( Y \) (denoted as \( \hat{Y} \)), residuals, and squared residuals to complete the following table. (**Note:** Your answers may differ slightly due to rounding. Select the responses that most closely match your results.)#### Data Values and Calculations| X | Y | Predicted \( \hat{Y} \) | Residual (\( Y - \hat{Y} \)) | Squared Residual (\( (Y - \hat{Y})^2 \)) ||-----|-----|---------------------------|-------------------------------|------------------------------------------|| 1.0 | 1.6 | - | - | - || 2.2 | 3.4 | 3.40 | 0.00 | 0.00 || 3.4 | 5.2 | 5.13 | 0.07 | 0.00 || 4.4 | 6.4 | - | - | - || 5.6 | 8.8 | 8.29 | 0.51 | 0.26 || 6.6 | 9.4 | - | - | - |#### Steps to Calculate1. **Predicted \( \hat{Y} \):** Use the linear regression formula \( \hat{Y} = 1.44X + 0.23 \). - For \( X = 1.0 \), \( \hat{Y} = 1.44(1.0) + 0.23 = 1.67 \) - For \( X = 4.4 \), \( \hat{Y} = 1.44(4.4) + 0.23 = 6.67 \) - For \( X = 6.6 \), \( \hat{Y} = 1.44(6.6) + 0.23 = 10.74 \)2. **Residuals (\( Y - \hat{Y} \))**:

Name: Hi! I'm struggling with this assignment. Please solve. Thank you! ###
Uploaded: 2024-03-20T07:06:27.000Z
Channel: Bartleby
Description: Hi! I'm struggling with this assignment. Please solve. Thank you! ### Educational Resource: Linear Regression Analysis#### Linear Regression FormulaThe linear regression equation used is: \( \hat{Y} = 1.44X + 0.23 \)#### Problem StatementCalculate th