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 $ 49,374 58.5 0
B 46,850 46.5 1
C 47,586 48.5 1
D 47,781 45.5 1
E 33,738 37.3 0
F 35,553 43.4 0
G 39,910 45.3 0
H 37,266 34.2 0
I 34,571 36.5 0
Is there a linear relationship between the median income and median age? (Round your answer to 3 decimal places.)
Yes. The correlation of Income and Median Age is
-1. Use regression analysis to determine the relationship between median income and median age. (Round your answers to 2 decimal places.)
Income = + Median Age
B-2 Interpret the value of the slope in a simple regression equation. (Round your answers to 2 decimal places.)

For each year increases in age, the income increases on average
C. 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.)

Income = + Median Age + Coastal
D.

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.)
Predictor t p-value
Constant
Median Age
Coastal