Answer:
Answer Below
Explanation:
A line of best fit, also known as a regression line, is a straight line that represents the relationship between two variables in a scatter plot. It is commonly used in statistics and data analysis to summarize and visualize the trend or pattern in the data.
The primary purpose of a line of best fit is to approximate the overall trend or direction of the data points and to provide a mathematical model that can be used to make predictions or draw inferences about the relationship between the variables. It is often used to determine the strength and direction of the correlation between two variables and to estimate the value of one variable based on the value of the other.
By fitting a line to the data points, the line of best fit minimizes the overall distance between the line and the data points. This is typically done using a method called least squares regression, which minimizes the sum of the squared differences between the observed data points and the predicted values on the line.
The line of best fit can be used to make predictions or estimate values for a given input or independent variable. It provides a useful tool for understanding and interpreting the relationship between variables and can be used to identify outliers or patterns in the data.