Statistics

World Correlations

Block 3

Rai Serrano

y=3.24x+423

R^2= 0.101, R= .32

Bermuda is an outlier, because although it has a lot of money it has quite a bit of murder for having that much money. The reason for this is because there is a lot of violent gang activity going on in bermuda, which often leads to a lot of murder.

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The relationship between these two variables is weak (R is -.32), negative and curved. This shows that the less GDP that a country has the more murder there is. This might be because of war, lack of education, and other factors.

Nynavae Grasmuck

I compared the poverty rate of countries v.s. the suicide mortality rate.

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Ecuador is an outlier because they are poverty-ridden and have a lot of suicides which is unusual for the data that shows that richer countries have more suicides.

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There does seem to be a relationship between poverty and suicide rates, but it doesn’t seem to affect the other in the way I thought it would.

Ecuador

Oliver Bigelow

When comparing GDP per capita, PPP and Agricultural land used there is almost no correlation. There is a 0.092 R2, this is a scale from 0 to 1. However, the trendline does show a negative correlation, meaning that the more GDP per capita, PPP in a country the less Agricultural land used. Luxembourg is an outlier, using approx. 50.6% land used and 91743.3 GDP per capita, PPP. Luxembourg had a fairly high GDP per capita, PPP and still had a high percent of Agricultural land used.

Husna Munezero

MARTA XAVIER

My graph shows that there’s no correlation between women who believe a husband is justified in beating his wife and percent of households lead by women. There were only 12 countries with data and

Juliana Matias

The graph displays a positive curved correlation. It shows that the countries that have women that smoke more have a higher life expectancy.

My-claire Nkama

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This graph display a positive curved correlation. It shows that the countries is richer. when a countries has $10000.00 has everyone has possibility to have electricity

My-claire nkama

Kason R.

Obesity and Medical Expenditure

Obesity Prevalence % in Adults

National Medical Expenditure %

With an R coefficient of merely .069, there seems to be a fairly minimal correlation between obesity prevalence and healthcare expenditure. This may be because complications involving obesity comprise only a small, if not insignificant, fraction of medical expenses. However, the upward trend, though shallow and weak, does exist, meaning that there is some correlation - though not necessarily causation - between these variables.

Some outliers in this graph include pacific islander countries such as Samoa, the Federated States of Micronesia, and Nauru, all of whom have very high obesity prevalence and comparatively low healthcare expense. This is likely due to the culture of countries like these, which has historically coveted obesity as beautiful. Other outliers - the ones on the top, with obesity that matches HC expenditure - include developed nations such as the U.S., perhaps implying that wealthy countries are more able to spend additional funds on healthcare, unlike the vast majority of less affluent nations.