A researcher calculated a correlation between work hours (mins) and awakening cortisol secretion in saliva in a sample of nurses. The results were r= -.43, p =.044. This means: a. The effect size was medium but the significance was low b. There is a medium positive correlation between cortisol secretion and hours worked c. As hours of work increased cortisol secretion decreased d. The correlation was non-significant L@@ 1 What is the term used to describe the point where the regression line intersects the Y axis in linear regression analysis? a. Slope b. That bit c. Constant d. Leverage point What is the primary benefit of multiple imputation when dealing with missing data? a. Your conclusions after analysis are more likely to be accurate b. The data becomes more significant c. ltincreases the sample size d. It provides a more accurate estimate than simple imputation In a backward regression with five predictors already in the equation, the exclusion of one predictor will probably: a. decrease R? b. increase the obtained p value c. decrease the Fvalue d. increase R? Which of the following is a polytomous variable? a. Political affiliation (Labour, Liberal, Other) b. Sex(Male, Female) c. Salary (in dollars) d. Education level (High School, Bachelor's, Master's, Doctorate) A researcher wants to investigate whether the relationship between X and Y is stronger when controlling for Z. Which regression method would be most appropriate for this purpose? a. Simple regression b. Stepwise regression c. Multiple regression d. Hierarchical regression In a hierarchical regression analysis, a researcher first entered age and gender as predictors of exam performance (Subset A), and then entered GPA and study time (Subset B). Which of the following is a correct statement? a. Total R?is the sum of the changes in R? due to the entry of Subset A and Subset B b. Subset A and Subset B are orthogonal c. Subset A accounted for more variance in exam performance than Subset B d. Total R? is the sum of the squared correlations between exam performance and each predictor A researcher reports that ?= .36 for a relationship between two variables. What does this mean? a. 36% of the variation in one variable is explained by the other variable b. The relationship between the two variables is not significant c. The effect size is too small to be of practical significance d. 64% of the variation in one variable is explained by the other variable In a regression analysis with multiple predictors, why might a researcher prefer to report unstandardized regression coefficients? a. They are more accurate in small sample sizes b. They were all measured on the same scale c. They can be used to compare the relative importance of predictors d. They are more stable across different regression models