A regional planner employed by a public university is studying the demographics of nine counties in...

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A regional planner employed by a public university is studying the demographics of nine counties in...

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	$	46,757	50.1	0
B		48,213	49.9	0
C		46,588	57.9	1
D		47,586	52.5	0
E		34,097	37.7	0
F		30,963	45.1	1
G		33,632	43.5	1
H		35,971	48.2	1
I		30,131	33.5	1

Click here for the Excel Data File

Is there a linear relationship between the median income and median age? (Round your answer to 3 decimal places.)

Which variable is the "dependent" variable?

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 answers to 2 decimal places.)

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.)

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.)

Prediction	t	p-value
constant
median age
coastal

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.)

math Statistics-And-Probability

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