AB InBev India Data Analyst Intern Interview Questions and Answers

Autocorrelation is a statistical concept that measures the relationship between a variable's current value and its past values.

• Autocorrelation is the correlation of a signal with a delayed copy of itself.

• It is used to detect patterns or trends in time series data.

• Positive autocorrelation indicates a positive relationship between current and past values, while negative autocorrelation indicates a negative relationship.

• F...read more

Linear regression assumptions include linearity, independence, homoscedasticity, and normality.

• Assumption of linearity: The relationship between the independent and dependent variables is linear.

• Assumption of independence: The residuals are independent of each other.

• Assumption of homoscedasticity: The variance of the residuals is constant across all levels of the independent variables.

• Assumption of normality: The resid...read more

P value is a measure used in hypothesis testing to determine the significance of the results.

• P value is the probability of obtaining results at least as extreme as the observed results, assuming the null hypothesis is true.

• A small P value (typically ≤ 0.05) indicates strong evidence against the null hypothesis, leading to its rejection.

• A large P value (> 0.05) suggests weak evidence against the null hypothesis, lead...read more