The prediction equation for the horseshoe crab data using width and quantitative color (scores 1, 2, 3,

Question:

The prediction equation for the horseshoe crab data using width and quantitative color (scores 1, 2, 3, 4) is logit(πˆ ) = −10.071 − 0.509c + 0.458x. Color has mean = 2.44 and standard deviation = 0.80, and width has mean = 26.30 and standard deviation = 2.11.

a. For standardized versions of the predictors, explain why the estimated coefficients equal (0.80)(−.509) = −0.41 and (2.11)(.458) = 0.97. Interpret these by comparing the partial effects on the odds of a one standard deviation increase in each predictor.

b. Section 4.5.1 interpreted the width effect by finding the change in ˆπ

over the middle 50% of width values, between 24.9 cm and 27.7 cm.

Do this separately for each value of

c, and interpret the width effect for each color.

Fantastic news! We've Found the answer you've been seeking!

Step by Step Answer:

Related Book For  book-img-for-question
Question Posted: