Linear Regression and Correlation Coefficient
Mathematics · JC 2 · Statistical Inference and Modeling · Semester 2

Linear Regression and Correlation Coefficient

Students will calculate and interpret the product moment correlation coefficient and the equation of the least squares regression line.

MOE Syllabus OutcomesSingapore MOE H2 Mathematics (9758): Correlation and Regression: 2.1 CorrelationSingapore MOE H2 Mathematics (9758): Correlation and Regression: 2.2 Linear regressionSingapore MOE H2 Mathematics (9758): Correlation and Regression: Use of a scatter diagram to determine if a linear model is appropriate

About This Topic

Students will calculate and interpret the product moment correlation coefficient and the equation of the least squares regression line.

Key Questions

  1. Explain what the product moment correlation coefficient tells us about the relationship between two variables.
  2. Analyze the meaning of the slope and y-intercept of a regression line.
  3. Construct the equation of the least squares regression line for a given dataset.

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Edited by Adriana Perusin, Editor-in-Chief, Flip Education
Synthesized by Flip Education from Lyman's Think-Pair-Share collaborative-discussion routine (1981)