• Fuel efficiency helps people compare cars.
• MPG means miles per gallon; higher MPG generally means better fuel efficiency.
• We use R’s built-in mtcars dataset, containing information about 32 cars.
• Our goal is to predict fuel efficiency from car specifications.

• We use multiple linear regression with R’s lm() function.
• Inputs include car weight, horsepower, and transmission type.
• The model estimates MPG based on these variables.

model <- lm(mpg ~ wt + hp + factor(am), data = mtcars)
summary(model)$r.squared

## [1] 0.8398903

The code fits the model and displays its R-squared value.

• Users select automatic or manual transmission.
• Sliders adjust car weight and horsepower.
• Clicking Predict MPG displays the estimated fuel efficiency.
• A bar chart compares predicted MPG with the dataset average.

• Predictions change with the selected car specifications.
• The application combines statistical modelling with an interactive interface.
• It demonstrates a practical use of regression in R.

Try the application: https://tanush1801.shinyapps.io/MPG_Shiny_Project/