QUESTION 1 In multiple regression, only one variable is used to predict the outcome variable (continuous variable). True O False QUESTION 2 Predicted scores from multiple regression are combinations of the predictor variables. QUESTION 3 Match each part of the general regression equation with it's description. Y" = b1X1 + b2X2 + . + bkXk + A VY A. Predicted Score v X1 B. Y-intercept v X2 c. Score on the second predictor variable VA D. Regression coefficient * b1 E. Score on the first predictor variable QUESTION 4 The regression line is a best fit line that attempts to _ Minimize the distance bewteen the predicted scores and the observed scores. Transform non-linear data into curvilinear data. O Adjust the sum of squares ratio. O Force skewed data into a normal distribution. QUESTION 5 explains the amount of variance accounted for in a mutiple regression model. O R-square O p-value O beta-value odds ratio\fQUESTION 11 Calculate the odds of having confirmed tissue damage for those who had greater than 30 seconds of chemical exposure: Chemical Exposure Confirmed Tissue Damage No tissue damage Greater than 30 seconds 38 69 Less than 30 seconds 25 129 QUESTION 12 Non-parametric tests are more powerful than parametric tests. O True O False QUESTION 13 The non-parametric counterpart to the independent samples t-test is O Mann-Whitney U Wilcoxon Rank-Sum Test O Kruskal-Wallis Test O Cochrane's Q Test QUESTION 14 The Mann-Whitney U test is used when comparing two independent group means where the assumptions of BOTH normal distribution and homogeniety of variance are violated. O True O False