Predict Hourse Power

This Presentation is to Pitch the Shiny applicatoin built to predict the Horse Power of a car. For this the mtcars data built in to R is used and a linear predictoin model is built on:

• Weight
• Number of Cylinders
• Miles per Gallon

str(mtcars)

'data.frame':   32 obs. of  11 variables:
 $ mpg : num  21 21 22.8 21.4 18.7 18.1 14.3 24.4 22.8 19.2 ...
 $ cyl : num  6 6 4 6 8 6 8 4 4 6 ...
 $ disp: num  160 160 108 258 360 ...
 $ hp  : num  110 110 93 110 175 105 245 62 95 123 ...
 $ drat: num  3.9 3.9 3.85 3.08 3.15 2.76 3.21 3.69 3.92 3.92 ...
 $ wt  : num  2.62 2.88 2.32 3.21 3.44 ...
 $ qsec: num  16.5 17 18.6 19.4 17 ...
 $ vs  : num  0 0 1 1 0 1 0 1 1 1 ...
 $ am  : num  1 1 1 0 0 0 0 0 0 0 ...
 $ gear: num  4 4 4 3 3 3 3 4 4 4 ...
 $ carb: num  4 4 1 1 2 1 4 2 2 4 ...

• The app is built on linear algorithm in which you spply the inputs of miles per gallon and weight using a slider, and the numnber of cylnders using Radio Buttons.
• The model is then fed with the input numbers and plots the representing point on the mpg, hp scatter plot.
• The model is accessible at this link https://aabdelsameia.shinyapps.io/My_Shiny_App/?_ga=2.10076021.151971316.1593010561-893614245.1593010561