SOAN 2120 Lecture Notes - Lecture 2: Scatter Plot, Tasmania, Key Type Stamp

• School: University of Guelph
• Department: Sociology and Anthropology
• Course: SOAN 2120
• Professor: D Walters

Document Summary

Correlation: the relationship between two variables, technique used to analyze two quantitative variables. E. g. education (in years) vs. income (in dollars) there is a positive correlation, meaning the higher the level of education, the higher the income. Seen in a scatter plot, which gives us a visualization of the correlation between those two quantitative variables positive slope implies a positive correlation. Negative correlation/relationship is demonstrated by a negative slope, going down from left to right e. g. higher levels of education correspond with lower levels of income. Or, there might be just a scatter of dots, resulting in no slope no relationship between education and income (flat slope) Correlation coefficients are typically around -/+ 0. 3-0. 5 weak or moderate. The numbers in coefficients can be skewed by outliers, atypical data points which lie outside the general pattern of all the other data points they could interfere with the data and the correlation coefficient.