Question: The table below is based on a logistic regression analysis of the Horseshoe Crabs data with spine and weight as the explanatory variables. We treated

The table below is based on a logistic regression analysis of the Horseshoe Crabs data with spine and weight as the explanatory variables.

We treated spine as a nominal categorical variable by creating two dummy indicators "spine1" (spine1 = 1 , when spine =1; 0 otherwise) and "spine2" (spine2 = 1 , when spine =2; 0 otherwise). The following table summarizes the maximum likelihood estimates of the regression coefficients.

Parameter

DF

Estimate

Standard Error

Wald Chi-Square

Pr > ChiSq

Intercept

1

-3.5819

0.8951

16.01

<.0001

spine1

1

-0.0708

0.4522

0.02

0.8755

spine2

1

-0.3705

0.5867

0.40

0.5277

weight

1

1.7881

0.3818

21.93

<.0001

Based on the table, what is a Wald type 95% confidence interval for the effect on the odds per half units (0.5 kg) increase in weight?

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