Question

In: Statistics and Probability

Data on ICU hospitalization (X) and number of death (Y) for 5 days due to COVID-19...

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

Solutions

Expert Solution

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


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