0. 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 $ 48,725 55.3 1 B 48,383 53.7 1 C 46,862 46.5 1 D 48,777 57.9 0 E 36,339 43.4 0 F 37,618 40.3 0 G 37,495 37.2 0 H 38,301 31.2 1 I 37,705 32.5 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

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

10.

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	$	48,725		55.3	1
B		48,383		53.7	1
C		46,862		46.5	1
D		48,777		57.9	0
E		36,339		43.4	0
F		37,618		40.3	0
G		37,495		37.2	0
H		38,301		31.2	1
I		37,705		32.5	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?