1) A financial analyst wanted to examine the relationship between salary (in $1,000) and 4 variables: age ( X ₁= Age), experience in the field ( X ₂= Exper), number of degrees ( X ₃= Degrees), and number of previous jobs in the field ( X ₄= Prevjobs). He took a sample of 20 employees and obtained the following Microsoft Excel output:

SUMMARY	OUTPUT ?	?	?	?	?
Regression	Statistics	?	?	?	?
Multiple R	?	0.992	?	?	?
R Square	?	0.984	?	?	?
Adj. R Square	?	0.979	?	?	?
Std. Error	?	2.26743	?	?	?
Observations	?	20	?	?	?
?	?	?	?	?	?
ANOVA	?	?	?	?	?
?	df	SS	MS	F	Signif F
Regression	4	4609.83164	1152.45791	224.160	0.0001
Residual	15	77.11836	5.14122	?	?
Total	19	4686.95000	?	?	?
?	?	?	?	?	?
?	Coeff	StdError	t Stat	P-Value	?
Intercept	-9.611198	2.77988638	-3.457	0.0035	?
Age	1.327695	0.11491930	11.553	0.0001	?
Exper	-0.106705	0.14265559	-0.748	0.4660	?
Degrees	7.311332	0.80324187	9.102	0.0001	?
Prevjobs	-0.504168	0.44771573	-1.126	0.2778	?

Note: Adj. R Square= Adjusted R Square; Std. Error= Standard Error Referring to the information above, the p-value of the Ftest for the significance of the entire regression is ________ (to 4 d.p.)

2) The number of cases of merlot wine sold by a Barossa Valley Winery in an 8-year period follows.

Year Cases of Wine 2003 270 2004 356 2005 398 2006 456 2007 358 2008 500 2009 410 201 0 376