An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: = 3.1, 1.75, 9=83.4, % = 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. Linear Regression Equation: y = a + bx slope of the line: b = r y-intercept of the line: a = y bx An instructor used 20 students to study the relationship between number of absences (x) and final grade (y) in a class. Use: = 3.1, 1.75, 9=83.4, % = 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. Linear Regression Equation: y = a + bx slope of the line: b = r y-intercept of the line: a = y bx