KIN222 Lecture Notes - Lecture 5: Scatter Plot, Standard Deviation, Negative Relationship

• School: University of Waterloo
• Department: Kinesiology
• Course: KIN222
• Professor: Ken Stark

Document Summary

Identify the dependent variable (this is the variable that we are trying to predict)call it the. Indicates: the relative degree of consistency, the variability in y scores paired with x scores. Regression analysis: how closely the scatterplot fits the regression line (line of best fit, the relative accuracy of a prediction. People that have a larger muscle girth are likely to produce more force. People who spend more time in the gym (x) are likely to have less body mass (y). Key: it does not (cid:373)ea(cid:374) that spe(cid:374)di(cid:374)g (cid:373)ore ti(cid:373)e i(cid:374) the gy(cid:373) (cid:449)ill decrea e a perso(cid:374)"s (cid:271)ody (cid:373)ass. Pearson product moment correlation (ppmc) this is the (cid:862)r(cid:863) (cid:448)alue. Ppmc determines strength of a linear relationship between 2 variables. Greater r, the (cid:373)ore (cid:862)predi(cid:272)ti(cid:448)e(cid:863) the relatio(cid:374)ship . ra(cid:374)ges fro(cid:373) 0. 0 to 1. 0. The value indicates both the direction and strength of the relationship. How the x and y scores vary together.