Regression
These activities cover bivariate data which includes regression and correlation.
[b]Least squares regression[/b] spreadsheet is designed to help students get a feel for drawing a line of best fit through a set of points and to begin to understand the concept of regression. Students are given a set of six coordinates plotted with the line y = a + bx. Students are required to alter the values of a and b to find the best line of fit. Residuals are calculated to help indicate the best fit line. Work card 7.1 support student use of this spreadsheet and poses further challenges.
The next spreadsheet is designed to enable students understand what is meant by the 'goodness of fit' by noting the effects of alterations to the values of r, R-squared and s. Work card 7.2 support student use of this spreadsheet and poses further challenges.
The next spreadsheet helps students understand what a correlation coefficient measures. Students are presented with a set of points and have to predict what the correlation coefficient is before revealing the exact answer. Work card 7.3 support student use of this spreadsheet.
[b]Linear combinations[/b] shows how the standard deviation of linear combinations of variables is calculated. In the first case the variables are independent whereas in the second case the student can determine the correlation. Students are able to alter variables in order to see their effect. Work card 7.4/5 support student use of this spreadsheet and poses further challenges.
The regression calculator performs regression analysis on the students own data. Three plots are given: the data with the line of best fit, the residuals against the fitted values and the normal probability plot of the residuals. Work card 7.6 support student use of this spreadsheet.
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Regression workcards 45 KB
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Regression workbook 87.5 KB