Lesson 4 - Correlation and Multiple Linear Regrgession

1. 1What does the correlation coefficient tell us?

   1. Athe variability between two variables
   2. Bthe direction and strength of the relationship between two variables
   3. Cthe probability of there being a relationship between two variables
2. 2The partial correlation has the same principle as ANCOVA as it controls for a third variable.

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3. 3What is true of regression?

   1. AIt is an extension of correlation
   2. Bit is calculated using general linear model
   3. Cmakes predictions of scores based on another's score
4. 4Variances accounted for (R squared) is a measure of how much of the variance is explained by your model. It is the ratio of variance in the data, divided by the variance of the model from the mean score.

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5. 5What are the methods of multiple linear regression?

   1. Ahierarchical = the set of predictors and their order are determined based on knowledge derived from previous research
   2. Bforce entry = all predictors are forced into the model simultaneously.
   3. Cstepwise = the order is determined by mathematical criteria.
   4. Dbackward stepwise = all variables at the beginning are included, then excluded if necessary.
6. 6Mediator analysis tell us that variable A only brings change in variable B , through variable M

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7. 7Moderator analysis tells us that variable M affects the extent to which variable A brings a change in variable B.

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8. 8simple regression predicts one variable from ONE other variable, whereas multiple regression predicts one variable from TWO or more variables.

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9. 9if we hold the effects of other predictors constant, the B values for each predictor give us the slope associated with each predictor.

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Beschreibung

Psychology Quiz am Lesson 4 - Correlation and Multiple Linear Regrgession, erstellt von Kelly Hamilton am 24/08/2021.

Autor

Kelly Hamilton

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English

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psychology

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