#8, 9 and 10 - Assignment Example where there are both main effects and interaction, the measured main effect is usually diluted by the other main effect because the means are measured across all treatment levels. a. Positive and negative correlations- the points in a scatterplot will be rising towards the right of the graph when there is a positive correlation showing an increase in the dependent variable (in the Y-axis) with increasing levels of the independent variable (on the X-axis). A negative correlation is observed when the points in the scatterplot taper down towards the right corner of the graph. This shows that as the levels of the independent variable increase, the response or dependent variable is decreased. b. Strong and weak correlation â€“ there is a strong correlation when the points in a scatterplot are close to each other and show a definite linear trend. This is very obvious when there is only a small range of values of the dependent variable (Y values) for a certain X value. A weak correlation is obvious when the points are widely dispersed in the plot; there is a whole range of Y values for a certain X value. The nature versus nurture issue is the debate on which determines an individualâ€™s physical and behavioral characteristics: is it the genetic make-up (hereditary traits or nature); or the environment (personal experience or nurture)? Many behavioral studies deal with this issue by conducting twin and adoption studies. In these studies, traits are measured and correlated with genetic background and environmental factors. Using correlation studies, the cause and effect relationship between trait and environment, trait and genetics, can be determined. Correlation studies showed that some traits are highly determined by genes, while others are by environment; still in some traits, the percentage contribution of nature or nurture could vary. In bivariate analysis, the relationship between two quantitative variables (1 independent and 1 dependent) is studied. This
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