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Error is the difference between the actual value and Predicted value and the goal is to reduce this difference.
8. Error is the difference between the actual value and Predicted value and the goal is to reduce this difference.
- True
- False
Answer: A) True
Explanation:
In statistics, the actual value is the value derived from observation or measurement of the available data. It is also known as the observed value. The expected value is the predicted value of the variable based on the regression analysis. Linear regression is most commonly used to calculate model error using mean-square error (MSE). MSE is derived by measuring the distance between the observed and anticipated y-values at each value of x and then computing the mean of the squared distances.