Very Nice explanation... I would like to confirm if your name is Dr. Hannah Volk-Jessusek... because i want to put your video as a reference for my study.
00:02 Pearson correlation measures the linear relationship between two variables. 01:02 Car correlation is determined by R values 02:02 Pearson correlation coefficient measures the linear relationship between two variables. 03:08 Sign of values affects correlation coefficient 04:06 Pearson correlation measures the strength and direction of the relationship between two variables. 05:03 Testing the correlation coefficient for significance 06:02 Calculating p-value and significance level for rejecting null hypothesis 07:00 Testing significance of Pearson correlation coefficient
Thanks for the video! Though I'm slightly confued. Wouldn't the numerator always equal 0? As the sum of all values minus the number of values times the mean is 0, or is my math bad?
This explanation is not very clear. Could nominal, ordinal scale use pearson correlation? As I know the mention scale cannot pearson but use Spearman Rank for ordinal....
is the strength of the correlation affected by sample size? if I took small sample out of the larger sample, would the strength of the correlation change?
hmm, you can do it between two variables, you just want to know it there is a relation ship between the Variables. So if you want to know if there is a correlation between two dependent Variables for sure you can do it! Regards, Hannah