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ex3_10.html
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ex3_10.html
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<!DOCTYPE html>
<html>
<head>
<meta charset='utf-8'/>
<script async='async' src='https://cdn.datacamp.com/dcl-react-dev.js.gz'></script>
<style>
.DCexercise .datacamp-exercise {
border: 2px solid #3D678D;
border-radius: 10px 10px 10px 10px !important;
}
*[class*="lm_"], .ace_gutter, textarea[class*="ace_"], .ace_scroller {
background-color: #F0EFF0 !important;
}
div[class*="Editor-module__editor"], div[class*="dcl__Footer"] {
background-color: #3D678D !important;
}
*[class*="lm_"] {
border-radius: 10px 10px 0px 0px !important;
}
div[class*="dcl__Footer"] {
border-radius: 0px 0px 10px 10px !important;
}
.lm_content {
border-radius: 0px !important;
}
.lm_splitter {
background-color: #3D678D !important;
width: 3px !important;
}
.lm_drag_handle {
background: transparent !important;
}
div[class*="dcl__index-module"] {
outline-color: transparent !important;
border-radius: 10px !important;
}
button[class*="secondary-light"] {
background-color: #FF0000;
}
</style>
</head>
<body>
<div data-datacamp-exercise data-lang='r' data-height =320><code data-type="pre-exercise-code">
custom_seed(123)
X <- runif(100, 0, 3)
Y <- exp(-X) + rnorm(100, 0, .05)
plot(Y ~ X)
</code>
<code data-type="sample-code">
# compute the correlation between X and Y
</code>
<code data-type="solution">
# compute the correlation between X and Y
cor(X, Y)
</code>
<code data-type="sct">
test_output_contains("cor(X, Y")
success_msg("Correct! The correlation is able to capture the negative relationship between both variables. However it only measures linear dependencies, whereas the dependency here is clearly nonlinear (exponential).")
</code></div>
</body>
</html>