Find the equation of the regression line **Regression Analysis: Evaluating Employee Performance and Attitude****Objective**: Use the given data to find the equation of the regression line. Round the final values to three significant digits, if necessary.**Data Overview**:Managers rate employees based on job performance and attitude. The results for several randomly selected employees are presented below:- **Performance Scores**: 59, 63, 65, 69, 58, 77, 76, 69, 70, 64- **Attitude Scores**: 72, 67, 78, 82, 75, 87, 92, 83, 87, 78**Regression Equation Options**:1. $ \bar{y} = -47.3 + 2.02x $2. $ \bar{y} = 92.3 - 0.669x $3. $ \bar{y} = 11.7 + 1.02x $4. $ \bar{y} = -2.81 + 1.35x $**Instructions**:- Analyze the data to determine which regression line best fits the relationship between performance and attitude.- Use statistical software or manual calculations to identify which equation most accurately represents the relationship.- Ensure the final values are rounded to three significant digits, as needed.

The least square regression equation is given below: y^=a+bx Here, a is the intercept calculated…

Managers rate employees based on job performance and attitude. The results for several randomly selected employees are given below. Performance 59 |63|65|69 | 58 |77 | 76| 69 70 64 72 67 78 82 75 87 92 83 87 78 Attitude y =-47.3 + 2.02x v - 92.3 – 0.669x = 11.7 + 1.02x Ov=2.81 + 1.35x

Managers rate employees based on job performance and attitude. The results for several randomly selected employees are given below. Performance 59 |63|65|69 | 58 |77 | 76| 69 70 64 72 67 78 82 75 87 92 83 87 78 Attitude y =-47.3 + 2.02x v - 92.3 – 0.669x = 11.7 + 1.02x Ov=2.81 + 1.35x

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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