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