A regional planner is studying the demographics in a region of aparticular state. She has gathered the following data on ninecounties.

Country	Median Income		Median Age		Coastal
A	$47,963		56.4		1
B	49,585		58.9		1
C	46,440		57.5		1
D	46,391		41.2		1
E	34,806		39.4		0
F	39,416		41.2		1
G	35,549		41.3		0
H	30,796		33.5		0
J	32,233		21.7		1

(a)	Is there a linear relationship between the median income andmedian age? (Round your answer to 3 decimalplaces.)

(Click to select)NoYes, the correlation of Incomeand Median Age is .

(b)	Which variable is the "dependent" variable?
	Median Income Median Age

(c-1)

Use statistical software to determine the regression equation.(Round your answers to 2 decimal places.)

Income =  +  Median Age.

(c-2)

Interpret the value of the slope in a simple regressionequation. (Round your answer to the nearest wholenumber.)

For each year increase in age, the income increases$  on average.

(d)	Include the aspect that the county is "coastal" or not in amultiple linear regression analysis using a "dummy" variable. Doesit appear to be a significant influence on incomes?(Negative amounts should be indicated by a minus sign.Round your answers to 2 decimal places.)

Income =  +  Median Age+  Coastal

(e)	Test each of the individual coefficients to see if they aresignificant. (Round your answers to 2 decimal places.Negative amounts should be indicated by a minus sign. Leave nocells blank - be certain to enter "0" whereverrequired.)

Predictor	T	P
Median Age
Coastal