• This linear model was created for the Coursera course, Developing Data Products, produced by Johns Hopkins University
  
• The course project is to create a shiny app and a sales pitch slide deck for the app
  
• This is the sales pitch, and I will show you how YOU can visualize a prediction model

• I used the mtcars dataset, which comes standard in R
• Using Miles Per Gallon (MPG) as the outcome, I found the two most correlated factors (weight and cylinders)
• Since there are only 3 cylinders, and weight is a continuous variable, I chose to use weight as a predictor

The model takes a slider input for the weight,and returns the MPG prediction using weight as the predictor. The app also provides a visual for the model fit, as well as your input predictor value laid over the chart.

Example App

Head over to Shinyapps.io to try it out!

Or, Check out the GitHub and Fork to play