(c) Explain how increasing or decreasing Bo, B1 or B2 affect our predictions.

Computer Networking: A Top-Down Approach (7th Edition)
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3 Logistic Regression Interpretation
P(Y=1)
Suppose we fit a multiple logistic regression: log (PY=1)) = Bo + B1X1+...+BpXp-
(a) Suppose we have p = 2, and Bo = 1, B1 = -1, B2 = 2. When X1 = X2 = 0, what are the odds and
probability of the event that Y = 1?
(b) How does one unit increase in X1 or X2 change the odds and probability of the event that Y = 1?
(c) Explain how increasing or decreasing Bo, B1 or B2 affect our predictions.
Transcribed Image Text:3 Logistic Regression Interpretation P(Y=1) Suppose we fit a multiple logistic regression: log (PY=1)) = Bo + B1X1+...+BpXp- (a) Suppose we have p = 2, and Bo = 1, B1 = -1, B2 = 2. When X1 = X2 = 0, what are the odds and probability of the event that Y = 1? (b) How does one unit increase in X1 or X2 change the odds and probability of the event that Y = 1? (c) Explain how increasing or decreasing Bo, B1 or B2 affect our predictions.
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