A. Write the equation of the regression line.B. Interpret each one of the slopes in this context.C. Calculate the estimated number of days absent and the residual for the first observation in the data set: a student who is aboriginal, male, a slow learner, and missed 2 days of school. Researchers interested in the relationship between absenteeism from school and certain demographic characteristics of children collected data from146 randomly sampled students in rural New South Wales, Australia, in a particular school year. Below are three observations from this data set.ethIrndayssex111221111:146137The summary table below shows the results of a linear regression model for predicting the average number of days absent based on ethnic background(eth: 0 - aboriginal, 1 - not aboriginal), sex (sex: 0 - female, 1 - male), and learner status (Irn: 0 - average learner, 1 - slow learner).EstimateStd. Errort value Pr(>|t|)(Intercept)18.932.577.370.0000eth-9.112.60-3.510.0000sex3.102.641.180.2411Irn2.152.650.810.4177

Given, A) From the above table, The equation of the regression line, Absenteeism (y^) = 18.93 -…

Write the equation of the regression line. B. Interpret each one of the slopes in this context. C. Calculate the estimated number of days absent and the residual for the first observation in the data set: a student who is aboriginal, male, a slow learner, and missed 2 days of school.

Write the equation of the regression line. B. Interpret each one of the slopes in this context. C. Calculate the estimated number of days absent and the residual for the first observation in the data set: a student who is aboriginal, male, a slow learner, and missed 2 days of school.

Linear Algebra: A Modern Introduction

4th Edition

ISBN:9781285463247

Author:David Poole

Publisher:David Poole

Chapter7: Distance And Approximation

Section7.3: Least Squares Approximation

Problem 31EQ

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