PLEASE ANSWER PART (B) ! 8.4 Absenteeism, Part I. Researchers interested in the

Question

PLEASE ANSWER PART (B)!

8.4 Absenteeism, Part I. Researchers interested in the relationship between absenteeism from school and certain demographic characteristics of children collected data from 146 randomly sam pled students in rural New South Wales, Australia, in a particular school year. Below are three observations from this data set eth sex Irn days 2 146 1 0 0 37 The 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 (1rn: 0 - average learner, 1 - slow learner).18 (Intercept) eth sex rn Estimate Std. Error value Pr>t) 7.37 0.0000 2.60 3.51 0.0000 18 0.2411 0.810.4177 18.93 9.11 3.10 2.15 2.57 2.64 2.65 (a) Write the equation of the regression line (b) Interpret each one of the slopes in this context (c) Calculate 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

Explanation / Answer

(b) Here in this context, the interpration of slope are.

(i) IF if a random student is aboriginal, then the predicted number of absences will be 9.11 days more than aboriginal then the originals.

(ii) THe predicted number of absences for a male student is 3.10 days more than a female student.

(iii) The predicted number of absences for a slow learner is 2.15 days more than a average learner student.

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