Multiple regression: Difference between revisions
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=={{header|R}}== |
=={{header|R}}== |
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R provides the lm |
R provides the '''lm''' function for linear regression. |
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<lang R>## Wikipedia Data |
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} |
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y <- c(52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93, 61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46) |
y <- c(52.21, 53.12, 54.48, 55.84, 57.20, 58.57, 59.93, 61.29, 63.11, 64.47, 66.28, 68.10, 69.92, 72.19, 74.46) |
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lm( y ~ x + I(x^2))</lang> |
lm( y ~ x + I(x^2))</lang> |
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{{out}} |
{{out}} |
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<pre> |
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Call: |
<pre>Call: |
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lm(formula = y ~ x + I(x^2)) |
lm(formula = y ~ x + I(x^2)) |
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Coefficients: |
Coefficients: |
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(Intercept) x I(x^2) |
(Intercept) x I(x^2) |
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128.81 -143.16 61.96 |
128.81 -143.16 61.96</pre> |
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</pre> |
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A simple implementation of multiple regression in native R |
A simple implementation of multiple regression in native R |
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