The least squared principle refers to: Question 4 options: Calculating the regre

Question

The least squared principle refers to:

Question 4 options:

Calculating the regression line so that it maximizes the amount of squared distance between actual scores (Y) and predicted scores ().

Calculating the intercept and slope so that the slope crosses the Y axis at the highest possible point.

Calculating the regression line so that it minimizes the amount of squared distance between actual scores (Y) and predicted scores ().

Calculating the intercept and slope so that the slope crosses the Y axis at the lowest possible point.

Calculating the regression line so that it maximizes the amount of squared distance between actual scores (Y) and predicted scores ().

Calculating the intercept and slope so that the slope crosses the Y axis at the highest possible point.

Calculating the regression line so that it minimizes the amount of squared distance between actual scores (Y) and predicted scores ().

Calculating the intercept and slope so that the slope crosses the Y axis at the lowest possible point.

Explanation / Answer

solution:- option C.

explanation - The least squared principle refers calculating the regression line so that it minimizes the amount of squared distance between actual scores (Y) and predicted scores ()

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