In: Statistics and Probability
Use the following information to answer questions 15 to
19.
The following indicates the number of hours that Johnny spent
studying the week before each exam in his classes along with the
corresponding exam scores:
Hours
Studying: 4 5 8 12 15 19
Score on Exam: 54 49
60 70 81 94
Find the LSRL for this data.
a) y=2.87−37.86x
b) y=2.87x+37.86
c) y=12.5367x+0.3388
d) y=0.3388x−12.5367
e) y=37.86x+2.87
The number of hours that Johnny spent studying the week before each exam in his classes along with the corresponding exam scores:
Hours Studying (Xi) | 4 | 5 | 8 | 12 | 15 | 19 |
Score on Exam (Yi) | 54 | 49 | 60 | 70 | 81 | 94 |
Now we want find LSRL (Least Squares Regression Line) or this data.
LSRL (Least Squares Regression Line) given by, Y = a + bX
where Y = dependent variable = Score on Exam , X= independent variable = Hours Studying and a , b are estiamted by least square method.
Least Square Estimate:
and
Table for calculation:
4 | 54 | -6.5 | -14 | 91 | 42.25 |
5 | 49 | -5.5 | -19 | 104.5 | 30.25 |
8 | 60 | -2.5 | -8 | 20 | 6.25 |
12 | 70 | 1.5 | 2 | 3 | 2.25 |
15 | 81 | 4.5 | 13 | 58.5 | 20.25 |
19 | 94 | 8.5 | 26 | 221 | 72.25 |
Total=63 | Total=408 | Total=498 | Total=173.5 |
Formula:
n = number of observation
and
Calculation:-
[ putting the value of Cov(X,Y) and Var(X) and round to two decimal places ]
[ putting the value of and round to two decimal places ]
Now LSRL (Least Squares Regression Line) is given by,
Y = 2.87X + 37.86 i.e Marks = 2.87 Hours + 37.86
Answer:- Correct Answer is " Option b). Y = 2.87X + 37.86 "