13378626
Descripción
Fichas por Amber Hines, actualizado hace más de 1 año
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Creado por Amber Hines
hace más de 6 años
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| Pregunta | Respuesta |
| What are the key words to determine if the statistic is linear regression? | Predict & Explain |
| In regression how many dependent variables exist? | 1 |
| True or False: Regression involves multiple independent variables? | True (predictors) |
| In regression what scale must both independent and dependent variables need to be? | Interval/Ratio |
| With regression do you want to show a relationship between the variables? | No-show that one can predict the other but be careful to not show a casual relationship |
| What is the question researchers are hoping to answer with multiple regression? | What is the best predictor of.......? |
| Who first used the term linear regression? | Pearson (Pearson's R) |
| What is the null hypothesis in regression? | R2 = 0 |
| True or False: It is important to always look at bivariate scatterplot of the variables of interest. | True |
| Regression is an extension of__________ | Correlation (compared to a Pearson's correlation-which does not distinguish b/t dependent and independent) |
| Multiple regression analysis allows one to see: | *how much the three predictor variables as a group are related *The strength of the relationship b/t each predictor variable *The relative strenght of each predictor variable *If interaction effects exxist b/t predictor variables |
| In order to use dichotomous predictor variables you must use______ | dummy coding: Male -Yes=1 -No=2 Female -Yes=1 -No=2 *Each separate variable mush have a yes/no |
| What is the name of a procedure that allows for dichotomous dependent variables? | Logit Regression |
| What are the benefits of conducting regression analysis rather than a correlation analysis? | *Regression yields more information *Regression allows us to think about the variables in a more intuitive way (Correlation gives us a single number (R value) while regression gives a formula for calculating a predicted value of one variable when we know the actual value of the second variable) |
| In the regression formula Y is _______ | Predicted value of the Y variable |
| In the regression formula b=__________ | regression coefficient or the slope |
| What is the intercept (A) in the regression formula? | The point where the regression line intercepts the Y axis. |
| What is the value of a perfect correlation? | 1.0 (data points on the scatter plot would be perfectly aligned) |
| What are three methods of entry in SPSS for multiple regression analysis? | 1) Simultaneous (Enter) 2) Hierarchical 3) Step-Wise |
| The R value tells you_________ | Correlation b/t the observed value of Y and the predicted value of Y |
| In the analysis what provides the percentage of variance explained? | R2 value |
| What do you look at to determine significance? | ANOVA (P value) |
| If you wanted to standardize your variables what would you use? | Z score |
| True or False: Each regression coefficient shows the strength of the relationship b/t the predictor variable and the outcome variable while controlling for the other predictor variable. | Ture |
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