In: Statistics and Probability
Data on ICU hospitalization (X) and number of death (Y) for 5 days due to COVID-19 is given.
Date | In ICU (X) | Death (Y) |
04/25 | 50 | 21 |
04/26 | 80 | 35 |
04/27 | 87 | 31 |
04/28 | 92 | 45 |
04/29 | 118 | 50 |
Total | 427 | 182 |
Use the fitted regression model to estimate the number of death when number of patients in ICU is 500 rounded to closest number.
Question 11 options:
255 |
|
240 |
|
201 |
|
271 |
|
218 |
Solution:
Regression equation can be written as follows:
Y = a+bx
Here Y is dependent variable i.e. No. of deaths
X is indepenent variable i.e. ICU hospitalization
a is intercept of regression lien
b is slope of regression line
Slope of regression line can be calculated as
slope = ((n*Xi*Yi)
- (Xi
*
Yi))/((n*Xi^2)
- (Xi)^2))
X |
Y |
X^2 |
Y^2 |
XY |
50 |
21 |
2500 |
441 |
1050 |
80 |
35 |
6400 |
1225 |
2800 |
87 |
31 |
7569 |
961 |
2697 |
92 |
45 |
8464 |
2025 |
4140 |
118 |
50 |
13924 |
2500 |
5900 |
427 |
182 |
38857 |
7152 |
16587 |
Slope = ((5*16587) - (427*182))/((5*38857)-(427*427)) = 5221/11956
= 0.4367
Intercept of regression line can be calculated as
Intercept = (Yi
- slope*Xi)/n
= (182 - 0.4367*427)/5 = -0.8929
So regression equation is Y = -0.8929 + 0.4367*X
Now If X = 500
than Y = -0.8929 + 0.4367*500 = 217.45 or 218
So its answer is E. i.e. 218