PSYC 2002 Lecture Notes - Lecture 5: Raw Score, Standard Deviation, Internal Validity
Document Summary
Correlation: a measure of the degree of linear relationship between two variables, the correlation coefficient, tells the direction of the relationship. Positive or negative: tells the degree of the relationship. The strength: we can characterize relationships in terms of positive and negative, degree of strength of the relationship, strong positive: data going up towards the right. Regression: how can variation in one variable change the linear variation in another variable. Fitting a line into a scatterplot of previous data, in order to predict new data: you can make predictions beyond the data that you already have. If you took the average product of the deviation scores, its called covariance: taking deviation scores, summed them up, and take the average, covariance is more like an intermediate quantity. It is a measure of something that isn"t used a lot by itself. If products are positive, so is covariance, if they are negative, so is covariance.
