Questions

What is the price of iPhone 12 in Nigeria?

What is the price of iPhone 12 in Nigeria?

iPhone 12 Price and Availability Price starts at around 428,000 Naira in Nigeria, 15,900 EGP in Egypt, 5,900 GHC in Ghana, and 125,500 KSh in Kenya. You can buy the smartphone at leading online stores. The price of the 128GB iPhone 12 sells for $849, while the 256GB variant sells for $949.

How do you find the best model in linear regression?

Statistical Methods for Finding the Best Regression Model

  1. Adjusted R-squared and Predicted R-squared: Generally, you choose the models that have higher adjusted and predicted R-squared values.
  2. P-values for the predictors: In regression, low p-values indicate terms that are statistically significant.

What is the best way to choose a model?

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Given several models with similar explanatory ability, the simplest is most likely to be the best choice. Start simple, and only make the model more complex as needed. The more complex you make your model, the more likely it is that you are tailoring the model to your dataset specifically, and generalizability suffers.

Why is it important to test different models?

Whether you are working on predicting data in an office setting or just competing in a Kaggle competition, it’s important to test out different models to find the best fit for the data you are working with.

How do I make a good regression model?

For a good regression model, you want to include the variables that you are specifically testing along with other variables that affect the response in order to avoid biased results. Minitab Statistical Software offers statistical measures and procedures that help you specify your regression model.

How do you choose the right R-squared model for your research?

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Adjusted R-squared and Predicted R-squared: Generally, you choose the models that have higher adjusted and predicted R-squared values. These statistics are designed to avoid a key problem with regular R-squared —it increases every time you add a predictor and can trick you into specifying an overly complex model.