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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X₁ is the The volume (in cubic feet) of a black cherry tree can be modeled by the equation y = -51.2 +0.4x₁ + 4.8x2, where tree's height (in feet) and x₂ is the tree's diameter (in inches). Use the multiple regression equation to predict the y-values for the values of the independent variables. (a) x₁ = 73, x₂ = 8.8 (b) x₁ = 67, x₂ = 11.5 (c) x₁ = 85, x₂ = 17.6 (d) x₁ = 92, x₂ = 20.8 cubic feet. (a) The predicted volume is (Round to one decimal place as needed.) (b) The predicted volume is cubic feet. (Round to one decimal place as needed.) (c) The predicted volume is cubic feet. (Round to one decimal place as needed.) (d) The predicted volume is cubic feet. (Round to one decimal place as needed.) Next
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