I need help interpreting data from a linear regression model.

The assignment question: Run two linear regression models to see if the effect of enrollment in the weight management module appears to vary by gender. Do not include any control variables (other than gender) in the first model. Include all of the control variables in the second. Note that each model should include a gender-by-enrollment interaction variable.

The data:

Variables	Regression Model	Adjusted Regression Model
Coefficient	P-Value	Coefficient	P-Value
Constant	2.84	< 0.001	7.87	< 0.001
ENROLL	-0.52	0.20	-0.11	0.78
MALE	0.58	0.08	0.71	0.03
MALExENROLL	-1.37	0.03	-1.50	0.02
WGTPRE	-	-	-0.03	< 0.001

What are the differences between the first and second models? What do the p-values tell me about each variable? What can I conclude based on the data?