A regional planner employed by a public university is studying the demographics of nine counties in the eastern region of an Atlantic seaboard state. She has gathered the following data:

County	Median Income			Median Age	Coastal
A	$	46,606		53.4	1
B		47,843		52.3	1
C		47,038		54.6	1
D		48,050		52.7	1
E		31,806		44.4	0
F		38,396		46.5	0
G		38,350		46.2	0
H		33,913		39.4	0
I		33,473		30.5	1

Click here for the Excel Data File a. Is there a linear relationship between the median income and median age? (Round your answer to 3 decimal places.)

b. Which variable is the "dependent" variable?

multiple choice 1

Median Age

Median Income

c-1. Use regression analysis to determine the relationship between median income and median age. (Round your answers to 2 decimal places.)

c-2. Interpret the value of the slope in a simple regression equation. (Round your answer to 2 decimal places.)

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

e. Test each of the individual coefficients to see if they are significant. (Negative amounts should be indicated by a minus sign. Leave no cells blank - be certain to enter "0" wherever required. Round your answers to 2 decimal places.)

f. Make a histogram of the residuals. Which plot is correct?

Residual plot 1	Residual plot 2	Residual plot 3

multiple choice 2

Plot 1

Plot 2

Plot 3

g. Make a scatter diagram of the residual values versus the fitted values. Which plot is correct?

Residuals vs Fits 1	Residuals vs Fits 2	Residuals vs Fits 3

multiple choice 3