Statistical Sciences 1023A/B Lecture 10: Lecture 10 - Relationships Between Measurement Variables
12 Feb 2017
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A relationship is statistically significant if the chances of observing the relationship in the sample when actually nothing is going on in the population are less than 5% A relationship is statistically significant if that relationship is stronger than 95% of the relationships we would expect to see just by chance. Recall: a response variable = measures an outcome of a study. A explanatory variable = explain or influences in a response variable. The most useful graph for displaying the relationship between two quantitative variables is a scatterplot. A scatterplot shows the relationship between two quantitative variables measured on the same individuals. The values of one variable appear on the horizontal axis, and the values of the other variable appear on the vertical axis. Each individual in the data appears as the point in the plot fixed by the values of both variables for that individual.
