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Bivariate Regression - research situations where bivariate regression is used

6 important questions on Bivariate Regression - research situations where bivariate regression is used

What is a dichotomous variable?

it has 2 possible values. For example men/woman or Yes and no

What does a biveriate regression provide?

It provides an equation that predicts scores on a quanititative Y variable from scores on quaniative X variable? (The predictor variable X can be dichotomous but if it is, we are more likely to do an independent sample t tes to see how scores on X and Y are related. The depenedent variable Y cannot be dichotomous for biveriate linear regression)

What kind of test needs to be done when the x variable is dichotomous and why?

An independent-sample t test to see how scores on x and y are related

What are raw scores?

Scores in the original measurement such as salary in dollars or education in years

On which two can regression based on?

Raw scores and unit-free z scores

Persons'r and bivariate regression are similarly, but what is the main difference?

Pearson's r is symmetrical, which means that the correlation between X and y and Y and X the same is.
Bivariate regression is not symmetrical, which means that the predict scores on Y and X differs differs from X and Y

The question on the page originate from the summary of the following study material:

Applied Statistics I Basic bivariate Techniques | 9781071807491 | Rebecca M warner

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