---
title: "ADA1: HW 05 Simple linear regression, logarithm transformation"
author: "Your Name Here"
date: "`r format(Sys.time(), '%B %d, %Y')`"
output:
html_document:
toc: true
---
# Rubric
1. With your previous (or new) bivariate scatter plot, add a regression line.
* (1 p) plot with regression line,
* (1 p) label axes and title.
2. Use `lm()` to fit the linear regression and interpret slope and $R^2$ (R-squared) values.
* (1 p) lm `summary()` table is presented,
* (2 p) slope is interpreted with respect to a per-unit increase of the $x$ variable
in the context of the variables in the plot,
* (1 p) $R^2$ is interpretted in a sentence.
3. (1 p) Interpret the intercept. Does it make sense in the context of your study?
4. Try plotting the data on a logarithmic scale ($x$-only, $y$-only, and both $x$ and $y$).
What happened to your data when you transformed it?
* (1 p) At least one logarithmic relationship is plotted, they indicate why they chose this transformation,
* (1 p) they describe what happened to the relationship (compare original scale to transformed scale).
5. Does your relationship benefit from a logarithmic transformation?
* (1 p) They say whether the relationship became more linear, and it is supported by their plots.