![]() At the top, it gives us the value of t which is essentially how surprising it is for us to get the correlation we did assuming we were drawing our sample from a population where there is no correlation. Firstly, at the bottom it repeats the correlation coefficient cor. # alternative hypothesis: true correlation is not equal to 0 The formula for calculating the Pearson’s correlation coefficient for a sample is: 14.3 Permutation test for a Paired t-test.14.2 Correlation Coefficient Permutation Tests.13.7.3 Calculating 95% confidence interval of ‘b’ by hand.13.7 Examining individual predictor estimates.Homogeneity of Variance / Homoscedasticity 13.4.1 What to do with the Standard Error of the Estimate ?.13.3.3 Comparing our trendline to other trendlines.13.2.2 How to calculate a and b ‘by hand’.12.4 Assumptions of Pearson’s Correlation.12.3.1 Significance Testing a Pearson Correlation.12.3 Conducting a Pearson Correlation Test.11.12 Non-parametric Alternatives to the Two Sample t-tests.11.11 Non-parametric Alternatives for Independent t-tests. ![]()
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