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<pre><code class="r">x &lt;- rnorm(100)
y &lt;- jitter(x)
print(summary(x))
</code></pre>
 
<pre><code class="no-highlight">## Min. 1st Qu. Median Mean 3rd Qu. Max.
## -1.500 -0.433 0.232 0.247 0.825 3.430
</code></pre>
 
<pre><code class="r">print(head(data.frame(x, y)))
</code></pre>
 
<pre><code class="no-highlight">## x y
## 1 -0.5913 -0.5913
## 2 0.8228 0.8227
## 3 -1.2110 -1.2111
## 4 -0.5431 -0.5429
## 5 0.7238 0.7237
## 6 0.8166 0.8167
</code></pre>
 
<pre><code class="r">cor(x, y)
</code></pre>
 
<pre><code class="no-highlight">## [1] 1
</code></pre>
 
<pre><code class="r">plot(x, y)
</code></pre>
 
<p><img 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alt="plot of chunk unnamed-chunk-1"/> </p>
 
<pre><code class="r">print(summary(lm(y ~ x)))
</code></pre>
 
<pre><code class="no-highlight">##
## Call:
## lm(formula = y ~ x)
##
## Residuals:
## Min 1Q Median 3Q Max
## -1.99e-04 -8.87e-05 1.63e-05 9.24e-05 1.83e-04
##
## Coefficients:
## Estimate Std. Error t value Pr(&gt;|t|)
## (Intercept) 1.02e-05 1.16e-05 8.7e-01 0.38
## x 1.00e+00 1.27e-05 7.9e+04 &lt;2e-16 ***
## ---
## Signif. codes: 0 &#39;***&#39; 0.001 &#39;**&#39; 0.01 &#39;*&#39; 0.05 &#39;.&#39; 0.1 &#39; &#39; 1
##
## Residual standard error: 0.000112 on 98 degrees of freedom
## Multiple R-squared: 1, Adjusted R-squared: 1
## F-statistic: 6.24e+09 on 1 and 98 DF, p-value: &lt;2e-16
##
</code></pre>
 
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