Can you explain how linear regression works?
Sure! Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables.
What does the equation of linear regression look like?
The equation is typically written as Y = a + bX, where Y is the dependent variable, a is the intercept, b is the slope, and X is the independent variable.
How do you determine the best fit line?
The best fit line is determined by minimizing the sum of the squared differences between the observed values and the values predicted by the line.
What are some applications of linear regression?
Linear regression is widely used in fields like economics, biology, engineering, and social sciences for predicting outcomes and analyzing trends.
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