Marketing Management Analytics Interview Questions, Process, and Tips

Q1. Can R sq be negative?
Ans. 
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 p...read more
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Q2. Describe the regression process
Ans. 
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
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Q1. What do you know about R square?
Ans. 
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 i...read more
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Q2. How do you check the model fit
Ans. 
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
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It involved sql questions mostly.

Project based questions

Q1. Expected salary and details of the work environment
Ans. 
I am seeking a competitive salary commensurate with my experience and skills, and a collaborative work environment that fosters growth and development.
• Seeking a competitive salary based on experience and skills

• Looking for a collaborative work environment

• Desire a workplace that encourages growth and development
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Q1. React advantages
Ans. 
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
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Q2. Diffing algorithm
Ans. 
A diffing algorithm is used to compare two sets of data and identify the differences between them.
• Diffing algorithms are commonly used in version control systems to track changes in code.

• Some popular algorithms for diffing include Myers' diff algorithm and the Hunt-McIlroy algorithm.

• Diffing algorithms can be implemented using dynamic programming or other techniques to efficiently compare large datasets.
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