data fitting techniques

Data fitting techniques are methods used to find a mathematical model that best represents a set of data points. Imagine you have a scatterplot of points and you want to draw a smooth line that captures the general trend of those points. Techniques like linear regression try to minimize the difference between the data points and the model, helping us make predictions or understand relationships. Other techniques might accommodate curves or complex patterns. Essentially, data fitting helps us summarize and interpret information in a meaningful way, aiding in decision-making and further analysis.