Outliers: Outliers are extreme values that lie far away from the other data points. They can affect the strength of a relationship by pulling it towards or away from them.
Correlation Coefficient: The correlation coefficient quantifies the strength and direction of the linear relationship between two variables. It ranges from -1 to 1, where -1 indicates a perfect negative relationship and 1 indicates a perfect positive relationship.
Residuals: Residuals are the differences between observed values and predicted values in regression analysis. They help assess how well a regression model fits the data and can provide insights into any patterns or trends not captured by the model.