Purchase Solution

Regression: Predictor and Criterion Variables

Not what you're looking for?

Ask Custom Question

Please help with the following.

Explain the relationship between correlation and regression. What do the two approaches have in common, and how are they different? In what types of research might one approach be preferred over the other? Explain and justify your response. Be sure that your discussion refers to both predictor and criterion variables as well as their role in the regression equation.

Purchase this Solution
Solution Summary

This essay is about correlation and regression. It talks about approaches with several criteria.

Solution Preview

Correlation shows relationship (co-relation) between two variables. It also gives us ways to measure behavior and to distinguish among the influences of overlapping variables. Regression is a statistical tool that lets us predict an individual's score on the dependent variable from his or her score on one independent variable. It can also provide specific quantitative information that predicts relations between variables. (Nolan, 2011) Regression like correlation can be widely inaccurate in its ...

Purchase this Solution
Free BrainMass Quizzes
Know Your Statistical Concepts

Each question is a choice-summary multiple choice question that presents you with a statistical concept and then 4 numbered statements. You must decide which (if any) of the numbered statements is/are true as they relate to the statistical concept.

Measures of Central Tendency

Tests knowledge of the three main measures of central tendency, including some simple calculation questions.

Terms and Definitions for Statistics

This quiz covers basic terms and definitions of statistics.

Measures of Central Tendency

This quiz evaluates the students understanding of the measures of central tendency seen in statistics. This quiz is specifically designed to incorporate the measures of central tendency as they relate to psychological research.

View More Free Quizzes
Related BrainMass Solutions

  • Statistics: multilinear regression in SPSS

    Create the Prediction Multiple Regression Equation: Using your dependent criterion variable as "y," and your predictor independent variables as x1and x2, create a pretend multiple regression prediction equation.

  • Proper use of regression analysis

    So if you have two highly correlated predictor variables, they're going to both explain the same variance in your criterion variable, and neither is going to look like a good predictor.

  • Important Information About Statistical Techniques

    Multiple regression, in general, is used to learn about relationships between several independent or predictor variables and a dependent or criterion variable.

  • multiple regression in SAS

    For each geographic region regress infection risk against the predictor variables age, routine culturing ratio, average daily census, and available facilities and services. a. Use first-order regression model with four predictor variables.

  • Multiple Regression Equation Development in SPSS

    Using your dependent criterion variable as "y," and your predictor independent variables as x1and x2, use SPSS to create the multiple regression prediction equation based on your table of 10 (or more) values for y, x1, and x2. e.

  • Multiple regression on salaries

    The general purpose of multiple regression is to learn more about the relationship between several independent or predictor variables and a dependent or criterion variable.

  • Regression and Variable Case Studies

    Here slopes of the equations are 50 , 5 and 10000. These values are measures of how strongly each predictor variable (value) influences the Criterion variable (x1, x2 , X3).

  • Independent and Dependent Variables

    IV/predictor/explanatory DV/outcome/criterion Making sense of IV/DV The experimental design alluded here is said to be the manipulation of an Independent Variable (IV) and the recorded impact this had on a Dependent Variable (DV).

  • Statistics Problem Set: Multiple Regression Model

    From a scatter plot and Tukey's ladder of transformation, explore ways to recode the data and develop an alternative regression model.

View More Related Solutions