Introducing Correlation and Regression

Statistics for Psychologists – Correlation and Regression

In this course, Dr Andrew Bell (King’s College London) explores regression analysis. In the first lecture, we think about the role of correlation and regression in statistics. In the second lecture, we think about what correlation can tell us about relationships within a dataset and the involvement of Pearson’s r. Next, we think about simple linear regression and what it can tell us about relationships within a dataset, beyond purely correlational insights. In the fourth and final lecture, we look at the powerful outputs enabled by multiple regression. Photo by m. on Unsplash

Introducing Correlation and Regression

In this lecture, we think about the role of correlation and regression in data analysis, focusing in particular on: (i) recapping the function and power of the student’s t-test; (ii) recapping the function and power of the ANOVA; (iii) the use of correlation and regression when querying whether there is a meaningful relationship between two sets of data; (iv) defining correlation as the strength of the relationship between two variables; (v) defining regression as enabling a researcher to see whether the value of one variable can be predicted based on the value of another.