# Introduction and Exploratory Data Analysis

Get introduced to multiple regression and learn how to get started with exploratory data analysis.

## We'll cover the following

We introduced ideas related to modeling for explanation, in particular that the goal of modeling is to make explicit the relationship between some outcome variable

In multiple regression, we’ll start considering models that include more than one explanatory variable

Our regression models will now consider more than one explanatory variable. Hence, the interpretation of the associated effect of any one explanatory variable must be made in conjunction with the other explanatory variables included in our model.

## Needed packages

Recall that loading the `tidyverse`

package by running the `library(tidyverse)`

loads the following commonly used data science packages all at once:

The

`ggplot2`

package for data visualizationThe

`dplyr`

package for data wranglingThe

`tidyr`

package for converting data to tidy formatThe

`readr`

package for importing spreadsheet data into RThe

`purrr`

,`tibble`

,`stringr`

, and`forcats`

packages, which are much more advanced

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