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A. Write the hypothesis and null you believe the researcher is testing. B. Make a claim about this hypothesis test; noting form, degree, and significance in your claim.   C. Make a claim about the overall fit of the model (significance, variance explained).   D. Discuss a plausible potential control variable you would want to include and the impact that you would speculate it to have on this relationship. (For example, what type of control is your variable, how will it alter the relationship between the DV and the IV, etc.).

A. Write the hypothesis and null you believe the researcher is testing. B. Make a claim about this hypothesis test; noting form, degree, and significance in your claim.   C. Make a claim about the overall fit of the model (significance, variance explained).   D. Discuss a plausible potential control variable you would want to include and the impact that you would speculate it to have on this relationship. (For example, what type of control is your variable, how will it alter the relationship between the DV and the IV, etc.).

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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  • A. Write the hypothesis and null you believe the researcher is testing.
  • B. Make a claim about this hypothesis test; noting form, degree, and significance in your
    claim.
  •   C. Make a claim about the overall fit of the model (significance, variance explained).
  •   D. Discuss a plausible potential control variable you would want to include and the impact that you would speculate it to have on this relationship. (For example, what type of control is your variable, how will it alter the relationship between the DV and the IV, etc.).
15. UN researchers attempting to quantify quality of life have spent some time examining the composite components of the UNHDI (United Nations Human Development Index). The index is a combination of generally agreed upon factors that, taken collectively, provide a measure of global quality of life. One of the more contentious suggestions has been urbanization. Despite its clear link to many quality of life measures, researchers remain unsure as to whether the measure should be included in the index. Predicting Life Expectancy from The Pecrcentage of Urban Population 08 70 09 50 40 T 20 40 50 60 70 80 30 Percentage of the total population living in urban areas, 2010 (UN) (Source: 2012 World Dataset, Pollock) 10 Regardless, the researchers have examined its impact on life measures as indicated in the scatter plot above. The questions that follow use the table below: OLS Regression predicting Life Expectancy from The % Urban Population % Urban B 0.269 Intercept Model Statistics (n=163) (Source: 2012 World dataset, Pollock) 51.584 r SE 0.024 0.655 1.493 90 100 R² 0.429 P 0.001 0.001 P 0.002
Transcribed Image Text:15. UN researchers attempting to quantify quality of life have spent some time examining the composite components of the UNHDI (United Nations Human Development Index). The index is a combination of generally agreed upon factors that, taken collectively, provide a measure of global quality of life. One of the more contentious suggestions has been urbanization. Despite its clear link to many quality of life measures, researchers remain unsure as to whether the measure should be included in the index. Predicting Life Expectancy from The Pecrcentage of Urban Population 08 70 09 50 40 T 20 40 50 60 70 80 30 Percentage of the total population living in urban areas, 2010 (UN) (Source: 2012 World Dataset, Pollock) 10 Regardless, the researchers have examined its impact on life measures as indicated in the scatter plot above. The questions that follow use the table below: OLS Regression predicting Life Expectancy from The % Urban Population % Urban B 0.269 Intercept Model Statistics (n=163) (Source: 2012 World dataset, Pollock) 51.584 r SE 0.024 0.655 1.493 90 100 R² 0.429 P 0.001 0.001 P 0.002
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