PSY 034 Lecture Notes - Lecture 13: Lincoln Near-Earth Asteroid Research, Measuring Instrument, Pearson Product-Moment Correlation Coefficient

• School: College of The Sequoias
• Department: Psychology (PSY)
• Course: PSY 034
• Professor: Vannasone

Document Summary

Two common types : correlational, strength of the relationship between x (iv) and. Factors that can limit a pearson"s correlation coefficient (r) The more heterogeneous your sample is the more the correlation is opposite. Imagine that we create a scatterplot of first graders" weight and height. Now lets add data from second graders (assuming second graders are generally heavier and taller than first graders but the relationship between their weight and height is similar to first graders) Notice how the total scatterplot for first through third graders resembles r=. 80 which each grade resembled r=. 60. As we add fifth graders, we can see that the correlation coefficient is approaching r=. 95. Homogenous groups produce smaller correlations than heterogeneous groups for first through fifth graders. Imagine that each year couples were married they became slightly less happy. Imagine that after they are married for 7 years, they slowly become more happy each year. Makes the relationship look like it"s 0.