---
title: "Assignment: linear regression"
output: html_document
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

# Salaries for Professors

`Salaries` dataset from `carData` library contains the 2008-09 nine-month academic salary for Assistant Professors, Associate Professors and Professors in a college in the U.S. The data were collected as part of the on-going effort of the college's administration to monitor salary differences between male and female faculty members.

# Exercise 1

Investigate the relationship between experience measured as years of service (`yrs.service`) and salary (`salary`) using linear regression. Visualize, interpret and describe the results.

```{r}
# Your code  here
```

*Your answer here*

# Exercise 2

Fit two separate linear models to the data - one for males and another for females. Compare the results. What can you conclude from the results?

```{r}
# Your code  here
```

*Your answer here*

# Exercise 3

Use diagnostic plots to evaluate your models from the first two exercises (all three models separately). Interpret the results. Does the data satisfy the assumptions of the linear regression?

```{r}
# Your code  here
```

*Your answer here*
