# R Programming Tutorial for Linear Regression

## Fitting of Simple Linear Regression

Load the data into R. The procedure for loading of data files has been shown in previous R tutorials. Here, we use a data set from a pre-installed package “fma”.

```{`
To load data from the package in R, use the commands:
>data (package=”fma”)
This instantly presents a list of all data sets available within the package.

Now print the data in R by:
``` ## How to Use R software for carrying out Linear Regression Analysis?

To fit the data into a simple linear regression model using R programming we use the following commands:

```{`
Define a variable name (here, model) and use the command:

To view the intercept and slope of regression in R, print
> model`}
``` ```{`To print the entire summary of the regression using R software, use the command:
>summary (model)`}
``` ```{`The following command can be used to find the residuals of individual observations:
>residuals (model)`}
``` ## How to Draw a Scatter Plot using R?

```{`To draw a scatter plot between sales and advert we use the following command:
`}```

main is used to define the title of the scatterplot while xlab and ylab are used to set X-axis and Y-axis labels. ### How to display the Line of best Fit in Linear Regression scatter plot in R?

```{`Display line of best fit by using the following the command:
>abline(model)`}``` ### How to use R programming software for Data FORECAST?

```{`Forecast data when adverting expenditure is 30. Use the following command:
`}``` ## Learn R programming for Statistical Analysis 