研讀 Applied Statistics for The Behavioral Sciences

• 進度： Chapter 6 Linear Regression: Prediction
• Prediction is the process of estimating scores on one variable from knowledge of scores on another variable.
• The equation for a straight line used in prediction is y=bx+a, where b is the slope of the line and a is the Y intercept.
• We fit the regression line to the data points in a scatterplot using the least-squares criterion, which requires the sum of (Y-y)^2 to be a minimum.
• For the regression equation y=bx+a, b is called the regression coefficient, and a is called the regression constant.
• 8:30-14:30 抽空閱讀。