26 Questions
In a regression analysis, which measure indicates the degree to which the distribution is skewed?
Skewness
What characterizes the bell-shaped peak of a normal distribution?
Kurtosis
Which statistic describes the relationship between two variables before controlling for any others?
Zero-order correlation
What should be considered to check if each variable contributes significantly in a regression analysis?
Examining standardized regression coefficients
What is a useful technique where you compare the contribution of variables in different steps of a hierarchical regression?
Analysis of F tests
In a regression analysis, which measure indicates the extent to which a variable is important in explaining the outcome?
Standardized regression coefficient
Which regression coefficient is in the original units of the variable?
B value
What does the standardised regression coefficient allow for in comparison to the non-standardised coefficient?
Comparing variables on different scales
Which correlation is a regular bivariate correlation between two variables?
Zero-order correlation
What does the partial correlation aim to accomplish?
Control for the influence of other variables from the predictor
Which correlation does not control for the presence of any other variables?
Zero-order correlation
Which type of correlation removes the influence of other variables from the predictor but not the criterion?
Semi-partial correlation
What does the significance of contributor testing assess in regression?
Individual predictor contribution
Which statistic is used to assess the significance of adding new variables in a hierarchical regression model?
FChange
What is the Greek letter Δ used to signify in ΔR2?
Change in statistics
Why might the contribution of variables decrease in a hierarchical regression?
Control and emphasis on new predictor variables
What is the commonly known correlation that is used to assess a linear association between two quantitative variables?
Zero-order correlation
Which assumption of regression testing emphasizes having equal variances between the variables?
Homoscedasticity
Which statistic helps assess the unique contribution of a predictor variable while controlling for others?
Semi-partial correlation
What technique is used to analyze the effect of multiple predictor variables on a single criterion variable?
Multiple regression
Which correlation controls for the effect of one or more variables while calculating the correlation between two other variables?
Partial correlation
In regression analysis, which statistic standardizes the relationship between each predictor variable and the criterion variable for comparison?
Standardised regression coefficient
What must be checked in a multiple regression to ensure that the same variable is not represented more than once?
Multicollinearity
Which statistic allows us to determine statistically significant contributors to the multiple regression model?
Standardised regression coefficient
Which correlation is calculated without controlling for the effect of any other variable?
Zero-order correlation
What is the key difference between partial correlation and semi-partial correlation?
Partial correlation accounts for the effect of all other independent variables, whereas semi-partial only accounts for the variables it controls for
Learn about interpreting regression output, focusing on the correlation and multicollinearity between multiple predictor variables and the criterion variable. Understand how to analyze, correlate, and interpret bivariate relationships in regression analysis.
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