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Based on the data shown below, calculate the regression line (each value to two decimal places) y = y 4.5 3. 4.85 4.4 5.05 6.2 4.45 5.4

Based on the data shown below, calculate the regression line (each value to two decimal places) y = y 4.5 3. 4.85 4.4 5.05 6.2 4.45 5.4

MATLAB: An Introduction with Applications
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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**Instructions for Calculating Regression Line** Based on the data shown below, calculate the regression line (each value to two decimal places): \[ \text{y} = (\text{Enter value}) \cdot \text{x} + (\text{Enter value}) \] **Data Table:** | x | y | |---|-----| | 2 | 4.5 | | 3 | 4.85| | 4 | 4.4 | | 5 | 5.05| | 6 | 6.2 | | 7 | 4.45| | 8 | 5.4 | **Explanation:** To determine the regression line, you will use the method of least squares to find the best-fitting straight line through these points. The line is expressed in the form \( y = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept. Make sure to round your results to two decimal places.
Transcribed Image Text:**Instructions for Calculating Regression Line** Based on the data shown below, calculate the regression line (each value to two decimal places): \[ \text{y} = (\text{Enter value}) \cdot \text{x} + (\text{Enter value}) \] **Data Table:** | x | y | |---|-----| | 2 | 4.5 | | 3 | 4.85| | 4 | 4.4 | | 5 | 5.05| | 6 | 6.2 | | 7 | 4.45| | 8 | 5.4 | **Explanation:** To determine the regression line, you will use the method of least squares to find the best-fitting straight line through these points. The line is expressed in the form \( y = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept. Make sure to round your results to two decimal places.
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