What does it mean: Positive value > Positive association Negative value > Negative association A value close to 1 signifies a strong positive association, while a positive value close to zero signifies a weak positive association. A value close to -1 signifies a strong negative association, while a negative value close to zero signifies a weak negative association. Teacher to demonstrate the calculation of Pearson’s Correlation Coefficient (using Excel, Geogebra, Calculator) Why is this important? It enables us to determine if the association is significant. If there is an association, then we can examine the reasons why this association exists. Fitting a line of best fit: model a linear relationship by fitting an appropriate Resources for Fitting a line of best fit: line of best fit to a scatterplot and using it to Resource 10 Fitting a line of best fit by eye and Discussion on why it is important to fit a line of best fit. – describe and quantify associations AAM finding its equation It enables predictions to be made using the model. fit a line of best fit both by eye and by Resource 11 How To Guide Fitting a line of best – – technology to the data (ACMEM141, Example: If we have sales history we can then predict fit by eye using Geogebra ACMEM142) how much we will sell in the future. Resource 12 Line of best fit data file – fit a least-squares regression line to the data Fitting a line of best fit by eye Geogebra Files: using technology Teacher to model the fitting of a line of best fit by eye Fitting a line of best fit by eye: interpret the intercept and gradient of the fitted – using a digital scatterplot and finding the equation of the https://ggbm.at/Yyj2zKTr line (ACMGM059) line of best fit. Refer to the file: Teacher Demonstration : https://ggbm.at/yz9mZJ9m File - Fitting a line of best fit by eye, and the How To : Guide - Fitting a line of best fit by eye using Geogebra if required. : https://ggbm.at/bYWMyn8T Note: You may need to demonstrate zooming in or out in https://ggbm.at/B4mydCGh Geogebra so that the scatterplot fits the resolution of
What does it mean: Positive value > Positive association Negative value > Negative association A value close to 1 signifies a strong positive association, while a positive value close to zero signifies a weak positive association. A value close to -1 signifies a strong negative association, while a negative value close to zero signifies a weak negative association. Teacher to demonstrate the calculation of Pearson’s Correlation Coefficient (using Excel, Geogebra, Calculator) Why is this important? It enables us to determine if the association is significant. If there is an association, then we can examine the reasons why this association exists. model a linear relationship by fitting an appropriate line of best fit to a scatterplot and using it to describe and quantify associations AAM fit a line of best fit both by eye and by technology to the data (ACMEM141, ACMEM142) fit a least-squares regression line to the data using technology interpret the intercept and gradient of the fitted line (ACMGM059) Fitting a line of best fit: Discussion on why it is important to fit a line of best fit. It enables predictions to be made using the model. Example: If we have sales history we can then predict how much we will sell in the future. Fitting a line of best fit by eye Teacher to model the fitting of a line of best fit by eye using a digital scatterplot and finding the equation of the line of best fit. Refer to the file: Teacher Demonstration File - Fitting a line of best fit by eye, and the How To Guide - Fitting a line of best fit by eye using Geogebra if required. Note: You may need to demonstrate zooming in or out in Geogebra so that the scatterplot fits the resolution of Resources for Fitting a line of best fit: Resource 10 – Fitting a line of best fit by eye and finding its equation Resource 11 – How To Guide – Fitting a line of best fit by eye using Geogebra Resource 12 – Line of best fit data file Geogebra Files: – Fitting a line of best fit by eye: https://ggbm.at/Yyj2zKTr : https://ggbm.at/yz9mZJ9m : : https://ggbm.at/bYWMyn8T https://ggbm.at/B4mydCGh
ms-s4-bivariate-data-analysis.docx