Respuesta :
The predicted grade for a student with 11 absences can be calculated using the equation y = mx + b, where y = predicted grade, m = the slope of the linear regression line, x = the number of absences, and b = the y-intercept. The predicted grade for a student with 11 absences is 79.5.
The linear regression equation is used to predict the value of a dependent variable (y) based on the value of an independent variable (x). The equation takes the form y = mx + b, where m is the slope of the regression line and b is the y-intercept. To calculate the predicted grade for a student with 11 absences, we first need to determine the value of m and b. This can be done by plotting the data points on a graph and calculating the slope and y-intercept of the regression line. Once we have the values of m and b, we can plug them into the linear regression equation. For example, if the slope is -0.5 and the y-intercept is 90, then the predicted grade for a student with 11 absences would be y = (-0.5 * 11) + 90 = 79.5. In this way, the linear regression equation can be used to predict the grade of a student based on the number of absences.
Learn more about equation here
https://brainly.com/question/10413253
#SPJ4
