With the given regression outputs for salaries versus employee absences: 
Summary measures	 	 	 	 	 	 
Multiple R	0.6147		 	 	 	 
R-Square	0.3778		 	 	 	 
StErr of Est	0.8812		 	 	 	 
 	 	 	 	 	 	 
ANOVA table	 	 	 	 	 	 
Source	        df	SS	MS	F	p-value	
Explained	1	6.1300	6.1300	7.8937	0.0148	
Unexplained	13	10.0954	0.7766	 	 	
 	 	 	 	 	 	 
Regression coefficients	 	 	 	 	 	 
	        Coefficient	Std Err	t-value	p-value	Lower limit Upper limit
Constant	11.4621	        3.3513	3.4201	0.0046	4.2219	    18.7022
Log(Annual_Salary)-2.3725	0.8444	-2.8096	0.0148	-4.1968	   -0.5482

Estimated number of one-day absences a person on $110,000 p.a is likely to take?

Yes, you have all the info you need.  Hint:  first you have to find a
regression equation, and all the info to do that is on your output.

Oh yeah - forgot that - here it is:

Y = ?0 + ?1x +e

But, I'm not sure I'm reading the table right. 

Is it:
110,000 = 11.4621 + -2.3725 + 3.3513  (am I suppose to use the
Constant STd Error figure?)

or have I messed that up completely?