We use the same definitions of the three variables NEWCASES, STRICT, and HOSP as were used in questions 1-6. We fit a multiple linear regression model for the expected number of cases per 100,000 as a function of both the level of strictness measures and whether the state has more than 55 hospitals, with no interaction term. The fitted model is summarized in the following table:

Parameter	Estimate	Std Error	t-value	p-value
Intercept	137.74	15.86	8.68	< 0.001
STRICT	-1.35	0.31	-4.33	< 0.001
HOSP	-22.04	9.32	-2.37	0.022

In 1-2 sentences, give an interpretation of the value of -22.04 that is highlighted in blue in the table above in the context of the problem. No word count!!