Howtosignalprocessing
Linear regression is an algorithm that provides a linear relationship between an independent variable and a dependent variable to predict the outcome of future events. It is a statistical method used in data science and machine learning for predictive analysis.
- What is linear regression with example?
- Which algorithm is best for regression model?
- What is meant by regression algorithm?
What is linear regression with example?
If we use advertising as the predictor variable, linear regression estimates that Sales = 168 + 23 Advertising. That is, if advertising expenditure is increased by one million Euro, then sales will be expected to increase by 23 million Euros, and if there was no advertising we would expect sales of 168 million Euros.
Which algorithm is best for regression model?
The best known estimation method of linear regression is the least squares method.
What is meant by regression algorithm?
Regression algorithms predict the output values based on input features from the data fed in the system. The go-to methodology is the algorithm builds a model on the features of training data and using the model to predict the value for new data.
