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

## Question A (0 pts)
#### 1. Calculate $\sum_{i=1}^{1000} \frac{1}{i^2}$ (0 pts)

```{r}
## Your code


```

#### 2. Fibonacci number follows the following recurrence relation (0 pts):
$F_n = F_{n-1} + F_{n-2}$.
Given the seed value $F_1 = 1$ and $F_2 = 1$, what is $F_{100}$? 

```{r}
## Your code

```

## Question B (0 pts)
#### 1. In R base package, there is cars' data. Plot speed (x axis) vs dist (y axis).
```{r}
## Your code
data(cars)

```

## Question C (0 pts)

In R base package, there is mtcars' data. data(mtcars)

#### 1. Fit a linear model: treat mpg as response variable and cyl, disp, hp and drat as predictors. (0 pts)
```{r}
## Your code

```
#### 2. Find the p-value for cyl. (0 pts)

```{r}
## Your code

```


## Note:


### Homework should be uploaded to courseweb:
1. Save your compiled result as html file. Rename the file name as: hw0_Lastname_Firstname.html.
2. RMD file is not required. You only need to upload the html file to the [e-leaning](https://elearning.ufl.edu) website.

### If you generate a figure, please write appropriate figure title, labels, legend if necessary.

### If your code is not intuitive, please write comments to make the code readible.


