Asked by Saphie Sapphire on Apr 24, 2024
Application of the least squares method results in values of the y-intercept and the slope that minimizes the sum of the squared deviations between the
A) observed values of the independent variable and the predicted values of the independent variable.
B) observed values of the independent variable and the predicted values of the dependent variable.
C) observed values of the dependent variable and the predicted values of the dependent variable.
D) observed values of the dependent variable and the predicted values of the independent variable.
Least Squares Method
The method used to develop the estimated regression equation. It minimizes the sum of squared residuals (the deviations between the observed values of the dependent variable, yi, and the predicted values of the dependent variable, ŷi).
Observed Values
The actual measurements or data collected in an experiment or study.
Predicted Values
The outcomes or values estimated based on a mathematical model or prediction equation.
- Comprehend the utilization and analysis of the least squares method in determining a regression line.
Learning Objectives
- Comprehend the utilization and analysis of the least squares method in determining a regression line.
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