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Name Section 4.2 Show all your work An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: = 3.1, sx = 1.75, y = 83.4, sy = 7.03 x Sx and r=-0.861 to find the linear regression equation (linear correlation equation) y = a + bx for this data. Round your final answer to two decimal places. la.) Linear Regression Equation: y = a + bx 1 b.) slope of the line: b = r. Sy Sx y-intercept of the line: a =ỹ - b*

Name Section 4.2 Show all your work An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: = 3.1, sx = 1.75, y = 83.4, sy = 7.03 x Sx and r=-0.861 to find the linear regression equation (linear correlation equation) y = a + bx for this data. Round your final answer to two decimal places. la.) Linear Regression Equation: y = a + bx 1 b.) slope of the line: b = r. Sy Sx y-intercept of the line: a =ỹ - b*

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 1CYU
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please answer the question 1a,b&c and show work!! thank you also please make sure if writing on paper handwriting can be read thank you again :)
Name Section 4.2 Show all your work An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: x= 3.1, sx = 1.75, y = 83.4, sy = 7.03 and r=-0.861 to find the linear regression equation (linear correlation equation) y = a + bx for this data. Round your final answer to two decimal places. la. Linear Regression Equation: y = a + bx 1b.) slope of the line: b = r. Sy Sx Cy-intercept of the line: a =ỹ - bx
Transcribed Image Text:Name Section 4.2 Show all your work An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: x= 3.1, sx = 1.75, y = 83.4, sy = 7.03 and r=-0.861 to find the linear regression equation (linear correlation equation) y = a + bx for this data. Round your final answer to two decimal places. la. Linear Regression Equation: y = a + bx 1b.) slope of the line: b = r. Sy Sx Cy-intercept of the line: a =ỹ - bx
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