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## Why does a correlation of 0.20 only explain 4% of the observed variance? | ||
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The correlation coefficient (r) measures the strength and direction of a linear | ||
relationship between two variables. However, to determine the proportion of the | ||
variance in the dependent variable that is predictable from the independent | ||
variable(s), we use the coefficient of determination (r-squared). | ||
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The r-squared value is found by squaring the correlation coefficient. So if we | ||
have a correlation of 0.20, we square this value (0.20 \* 0.20 = 0.04 or 4%) to | ||
get our r-squared value. This means that only 4% of the total variation in y can | ||
be explained by the linear relationship between x and y. | ||
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It is important to note that a low r-squared value does not necessarily mean | ||
there is no relationship between the variables or that a model is not useful. It | ||
simply means that most of the variation in y remains unexplained by x using a | ||
linear model. | ||
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Also, while r-squared gives us an indication of how well our model fits our | ||
data, it should not be used alone for assessing model fit or comparing models as | ||
it does not take into account overfitting or complexity of models. |
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--- | ||
title: Eye-contact | ||
--- | ||
|
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+++ | ||
title = "Structural Functionalism" | ||
author = ["Linus Sehn"] | ||
draft = false | ||
subtitle = "" | ||
summary = "Society as a complex (biological) system" | ||
tags = ["approach" ,"social-science"] | ||
share = true | ||
profile = true | ||
commentable = true | ||
editable = false | ||
+++ | ||
--- | ||
title: Structural Functionalism | ||
description: Society as a complex (biological) system | ||
tags: | ||
- approach | ||
- social-science | ||
--- | ||
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Links >> [Historical | ||
Institutionalism]({{< relref "historical-institutionalism" >}}) | ||
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## The Notion | ||
## Core idea | ||
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Society is a complex system with interacting parts (organs) seeking to bring | ||
into effect a supposedly stable system, cohesive system (body). | ||
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## Resources | ||
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<~/Exocortex/bib/library.bib> |
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