# regression: Simple Linear Regression (by Hand)

Exercise template for computing the prediction from a simple linear prediction by hand, based on randomly-generated marginal means/variances and correlation.

**Name:**

`regression`

**Type:**

**Description:**

Computing coefficients and a point prediction from a simple linear prediction (by hand). Internally, a full bivariate data set is simulated but only the marginal means and variances and the correlation coefficient are presented in the exercise.

**Solution feedback:**

Yes

**Randomization:**

Random numbers

**Mathematical notation:**

Yes

**Verbatim R input/output:**

No

**Images:**

No

**Other supplements:**

No

*(Note that the HTML output contains mathematical equations in MathML, rendered by MathJax using ‘mathjax = TRUE’. Instead it is also possible to use ‘converter = “pandoc-mathjax”’ so that LaTeX equations are rendered by MathJax directly.)*

**Demo code:**

```
library("exams")
set.seed(403)
exams2html("regression.Rmd", mathjax = TRUE)
set.seed(403)
exams2pdf("regression.Rmd")
set.seed(403)
exams2html("regression.Rnw", mathjax = TRUE)
set.seed(403)
exams2pdf("regression.Rnw")
```