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
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Chapter1: Starting With Matlab
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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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