For numbers 2-7: A remission is when leukemia cannot be detected in the body and there are no symptoms. A total of 27 random sample of patients from a certain hospital was obtained. The Leukemia Remission data set has a response variable of whether leukemia remission occurred (Y=1). The predictor variables are cellularity of the marrow clot section (CELL) and proportion of absolute marrow leukemia cell infiltrate (INFIL). Regression analysis was done and the model is given by: π(y=1) In = -2.88 +3.08CELL - 2.5INFIL [1-n(y=1)] Macbee wants to validate the model above. He observed 30 random sample of patients from the same hospital. He came up with a confusion matrix below. Predicted Probability Outcome < 0.5 > 0.5 0 (with parasite) 5 2 1 (without parasite) 1 20 4. The specificity of MacBee's model is O A. 9.1 OB. 16.7 O C. 83.3 O D. 90.9 %.

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For numbers 2-7: A remission is when leukemia cannot be detected in the body and there are no symptoms. A total of 27 random sample of patients from a certain
hospital was obtained. The Leukemia Remission data set has a response variable of whether leukemia remission occurred (Y=1). The predictor variables are cellularity
of the marrow clot section (CELL) and proportion of absolute marrow leukemia cell infiltrate (INFIL). Regression analysis was done and the model is given by:
π(y=1)
In
= -2.88 +3.08CELL - 2.5INFIL
Macbee wants to validate the model above. He observed 30 random sample of patients from the same hospital. He came up with a confusion matrix below.
Predicted Probability
Outcome
< 0.5
> 0.5
0 (with parasite)
5
2
1 (without parasite)
1
20
4. The specificity of MacBee's model is
O A. 9.1
O B. 16.7
OC. 83.3
O D. 90.9
%.
Transcribed Image Text:For numbers 2-7: A remission is when leukemia cannot be detected in the body and there are no symptoms. A total of 27 random sample of patients from a certain hospital was obtained. The Leukemia Remission data set has a response variable of whether leukemia remission occurred (Y=1). The predictor variables are cellularity of the marrow clot section (CELL) and proportion of absolute marrow leukemia cell infiltrate (INFIL). Regression analysis was done and the model is given by: π(y=1) In = -2.88 +3.08CELL - 2.5INFIL Macbee wants to validate the model above. He observed 30 random sample of patients from the same hospital. He came up with a confusion matrix below. Predicted Probability Outcome < 0.5 > 0.5 0 (with parasite) 5 2 1 (without parasite) 1 20 4. The specificity of MacBee's model is O A. 9.1 O B. 16.7 OC. 83.3 O D. 90.9 %.
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