BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -Extrapolation. Prediction of the value of the dependent variable outside the experimental region. It is risky. The sums of squares. Sum of squares due to error: The value of SSE is a measure of the error in using the estimated regression equation to predict the values of the dependent variable in the sample.

Detailed explanation-2: -The process of predicting inside of the observed x values observed in the data is called interpolation. The process of predicting outside of the observed x values observed in the data is called extrapolation.

Detailed explanation-3: -The other name for the dependent variable is the Predicted variable(s). The dependent variables are named as such because they are the values that are predicted or assumed by the predictor / independent variables.

Detailed explanation-4: -Extrapolation means that you are making a prediction beyond the known values or outside of the domain of the training data.

Detailed explanation-5: -Regression is a statistical method used in finance, investing, and other disciplines that attempts to determine the strength and character of the relationship between one dependent variable (usually denoted by Y) and a series of other variables (known as independent variables).