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PSYB07H3 Final: EXAM REVIEW REGRESSION AND CORRELATION

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School
UTSC
Department
Psychology
Course
PSYB07H3
Professor
Douglas Bors

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Document Summary

Regression and correlation: in both cases, y is a random variable beyond the control of the experimenter. In the case of correlation, x is also a random variable. In the case of regression, x is treated as a fixed variable. (as if there is no sampling error in x. ) Regression: you are wishing to predict the value y on the basis of the value of x. How change are we to expect with a change in 1 variable to put into units of measurement. I. e. predicting final mark based on midterm mark. Correlation: you are wishing to express the degree of the relation between x and y. Like the phi coefficient degree of relation between the two variables. If x and y are unrelated, the best predictor of y is the mean of y. You have to look for something that minimizes the error. Linear relationship always but there are non relationship forms of regression and correlation.

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Related Questions

13. A limitation of Correlational research is that A) the data do not permit cause and effect conclusions B) the correlation coefficient only goes from -1.00 to +1.00 C) the data collected cannot be plotted D) it only addresses questions that cannot be studied experimentally E) it does not allow us to make predictions about the variables

13. A limitation of Correlational research is that A) the data do not permit cause and effect conclusions B) the correlation coefficient only goes from - 1.00 to +1.00 C) the data collected cannot be plotted D) it only addresses questions that cannot be studied experimentally E) it does not allow us to make predictions about the variables

9) You read that their a relationship between eating meat and the possibility if getting cancer, you decide to do an experiment and find that their exists no relationship. What can be a reason for your not finding any relationship between these two variables?