Strength refers to the degree of association or relationship between two variables. It measures how closely the data points in a scatterplot cluster around a straight line.
Think of strength as the tightness of a group hug. If everyone in the group is huddled closely together, it indicates a strong bond. Similarly, if the data points in a scatterplot are tightly clustered around a line, it suggests a strong relationship between the variables.
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.
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