Description

Instructions
In this exercise, please use the data file “Timothy_TE69_ICQ3.csv”.
Context behind the data
Questions
Answer all the following questions. For numerical answers, please leave your answers correct to the decimal places mentioned in each question.
Question 1
What is the correlation coefficient r between “Attendance” and “Final_Score”, correct to 2 decimal places?
Question 2
Based on your answer to Q1, what is the linear association between “Attendance” and “Final_Score”?
Choose among the options below:
– strong and positive
– moderate and positive
– weak and positive – zero
– weak and negative
– moderate and negative
– strong and negative
Question 3
What is the gradient of the linear regression line if we use “Attendance” to predict “Final_Score”, correct to 3 decimal places? Do not perform any transformation before doing linear regression.
Question 4
What is the predicted average value of “Final_Score” at “Attendance” = 93.4, correct to 3 decimal places? Do not perform any transformation before doing linear regression.
Question 5
Key in this unique ID : 269.
Appendix
A description of the data set is given below:
Variable Description
Hours_Studied Average number of hours spent studying per week
Attendance Percentage of tutorials attended
Sleep_Hours Average number of hours of sleep per night
Midterm_Score Scores from midterm exam (out of 100)
Consultation_Sessions Number of consultation sessions attended throughout the semester
Physical_Activity Average number of hours of physical activity per week
Final_Score Final exam score (out of 100)