Questions: What does the distribution of used phone prices look like? What percentage of the used phone market is dominated by Android devices? The amount of RAM is important for the smooth...

Questions:

1. What does the distribution of used phone prices look like?


2. What percentage of the used phone market is dominated by Android devices?


3. The amount of RAM is important for the smooth functioning of a phone. How does the amount of RAM vary with the brand?


4. A large battery often increases a phone's weight, making it feel uncomfortable in the hands. How does the weight vary for phones offering large batteries (more than 4500 mAh)?


5. Bigger screens are desirable for entertainment purposes as they offer a better viewing experience. How many phones are available across different brands with a screen size larger than 6 inches?


6. Budget phones nowadays offer great selfie cameras, allowing us to capture our favorite moments with loved ones. What is the distribution of budget phones offering greater than 8MP selfie cameras across brands?


7. Which attributes are highly correlated with the used phone price?

Data Preprocessing

• Missing value treatment


• Feature engineering (if needed)


• Outlier detection and treatment (if needed)


• Preparing data for modeling


• Any other preprocessing steps (if needed)

EDA

• It is a good idea to explore the data once again after manipulating it.

Building a Linear Regression model

Model performance evaluation

Checking Linear Regression Assumptions

• In order to make statistical inferences from a linear regression model, it is important to ensure that the assumptions of linear regression are satisfied.

Final Model Summary¶