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• Linear regression is the process of gathering data between two variables or observable and using that data to predict the dependent variable.

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car = read.csv("car_prediction_data.csv")

• It is shown from this plot that the average selling price of cars is increasing with time.
• Variances in selling price per year are accounted for the different types of cars being sold

-The difference between selling price and present price remained roughly constant over time -This difference was calculated with the equation: y2 = abs(selling price - present price) ## Year vs Present price -The present price increased steadily with time. ## Conclusion - There is a positive correlation between the selling price of a car and the year -The more recent the year, the higher a car will be on sale