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: T(Y=1) In((1)) = -2.88 +3.08CELL - 2.5INFIL -) 1-T(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

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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:
In(1²(Y-1)) = -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
1
20
parasite)
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: In(1²(Y-1)) = -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 1 20 parasite)
leukemia cell infiltrate
2. Based on the model, every unit increase in the proportion of absolute marrow
the odds of observing Leukemia remission
multiplicatively by _____, holding the cellularity of the marrow clot section
constant.
A. lowers, 2.5
B. increases, 2.5
C. lowers, 12.18
D. increases, 12.18
L. All of the above
W. None of the above
Transcribed Image Text:leukemia cell infiltrate 2. Based on the model, every unit increase in the proportion of absolute marrow the odds of observing Leukemia remission multiplicatively by _____, holding the cellularity of the marrow clot section constant. A. lowers, 2.5 B. increases, 2.5 C. lowers, 12.18 D. increases, 12.18 L. All of the above W. None of the above
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