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Linear regression and correlation

1   Slope and Y -intercept of a linear equation
2   Method 1: using a p -value to make a decision
3   Method 2: using a table of critical values to make a decision
4   Third-exam vs final-exam example: critical value method
5   Assumptions in testing the significance of the correlation coefficient
4   Numerical identification of outliers: calculating s And finding outliers
5   95% critical values of the sample correlation coefficient table

Source:  OpenStax, Introductory statistics. OpenStax CNX. May 06, 2016 Download for free at http://legacy.cnx.org/content/col11562/1.18