CMK Projects Interview Questions and Answers

R square is a statistical measure that represents the proportion of the variance for a dependent variable that's explained by an independent variable.

• R square is also known as the coefficient of determination.

• It ranges from 0 to 1, with 1 indicating a perfect fit.

• It is used to evaluate the goodness of fit of a regression model.

• Higher R square values indicate that the model explains a larger proportion of the variance in the dependent variable.

• For example, an R square of 0.8 m...read more

Model fit can be checked using various statistical measures and techniques.

• Check goodness of fit statistics like R-squared, AIC, BIC

• Analyze residuals to ensure they are normally distributed and homoscedastic

• Use diagnostic plots like QQ plots, residual plots, and leverage plots

• Perform cross-validation to assess model performance on unseen data

No, R sq cannot be negative as it represents the proportion of the variance in the dependent variable that is predictable from the independent variable.

• R sq (R-squared) ranges from 0 to 1, where 0 indicates that the model does not explain any of the variability of the response data around its mean, and 1 indicates that the model explains all the variability.

• A negative R sq value would imply that the model is worse at predicting the dependent variable than a model that simply ...read more

Regression process involves fitting a mathematical model to data points to predict outcomes.

• Identify the relationship between the independent and dependent variables

• Choose the appropriate regression model (linear, logistic, etc.)

• Collect and preprocess data

• Split data into training and testing sets

• Fit the regression model to the training data

• Evaluate the model using metrics like R-squared, Mean Squared Error, etc.

• Use the model to make predictions on new data

React is a popular JavaScript library for building user interfaces.

• Component-based architecture for reusability and organization

• Virtual DOM for efficient updates and performance

• One-way data binding for predictable data flow

• Support for server-side rendering for SEO optimization

• Large community and ecosystem for support and resources