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1. To conduct a regression analysis on this data, which variable would be chosen for the dependent variable? Provide a brief (1 sentence) rationale for your selection. 2. What expectation would you have regarding the direction of the relationship between education and income? Briefly (1 sentence) explain your reasoning. 3. Regression analysis determined the following values for the best fit trend line: SLOPE = 1.0 INTERCEPT = 3.1 Write the full equation of the best fit trend line.

1. To conduct a regression analysis on this data, which variable would be chosen for the dependent variable? Provide a brief (1 sentence) rationale for your selection. 2. What expectation would you have regarding the direction of the relationship between education and income? Briefly (1 sentence) explain your reasoning. 3. Regression analysis determined the following values for the best fit trend line: SLOPE = 1.0 INTERCEPT = 3.1 Write the full equation of the best fit trend line.

MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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1. To conduct a regression analysis on this data, which variable would be chosen for the dependent variable? Provide a brief (1 sentence) rationale for your selection.

2. What expectation would you have regarding the direction of the relationship between education and income? Briefly (1 sentence) explain your reasoning.

3. Regression analysis determined the following values for the best fit trend line: SLOPE = 1.0

INTERCEPT = 3.1

Write the full equation of the best fit trend line.

An urban geographer is interested in determining whether a statistically significant relationship exists between the percentage of adults with some post-secondary education (PSE) and average household income of a neighbourhood. A sample of 12 neighbourhoods is taken and the following data are assembled: Neighbourhood PSE (%) Av Income ($000) 1 35 56 2 39 28 3 42 31 45 36 48 65 6 51 65 7 51 61 8 58 72 9 65 71 10 68 91 11 72 59 12 85 90 4-
Transcribed Image Text:An urban geographer is interested in determining whether a statistically significant relationship exists between the percentage of adults with some post-secondary education (PSE) and average household income of a neighbourhood. A sample of 12 neighbourhoods is taken and the following data are assembled: Neighbourhood PSE (%) Av Income ($000) 1 35 56 2 39 28 3 42 31 45 36 48 65 6 51 65 7 51 61 8 58 72 9 65 71 10 68 91 11 72 59 12 85 90 4-
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