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?