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 1₁1 = -2.88 +3.08CELL - 2.5INFIL 2. Based on the model, every unit increase in the proportion of absolute marrow leukemia cell infiltrate the odds of observing Leukemia remission multiplicatively by holding the cellularity of the marrow clot section constant. O A. lowers, 2.5 O B. increases, 2.5 O C. lowers, 12.18 O D. increases, 12.18

Q: (-14) + (–7)

A:

Q: 1. Find L-¹{e-³s} 5}

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A:

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Q: xp xペ-4xt13

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Q: こ (0) of

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A: The given inequality is 9-4x>-3

Q: If A: find A 2. 3 3. and Show Shat A-3

A: A=1213 Now determinant value is, A=13-12=1 Adjoint of matrix A is, adjA=3-2-11 Now,…

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Q: 18) 2x y

A:

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Q: Find A.

A:

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Q: 5)235

A: Answer : 47

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Q: 36-9z

A: Given that:36-9z

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A:

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A:

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A: y &gt;= 7x/4 +2

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A: Work done along the curve C by vector field F . Where C is given by parametric equation r(t)…

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Q: –4(–6m – 7).

A:

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A:

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A: