Question
Please help me QUESTION 21 The regression method with the highest risk of Type I error is ______. a. simultaneous regression b. statistical regression c.
Please help me
QUESTION 21 The regression method with the highest risk of Type I error is ______. a. simultaneous regression b. statistical regression c. user-determined regression d. standard regression
QUESTION 22 The significance test for an overall regression tests the hypothesis that ______. a. F > 1.00 b. R2 < 1.00 c. > 10 d. R = 0
QUESTION 23 The simplest version of multiple regression to conduct and report is ______. a. user-determined regression b. simultaneous regression c. standard regression d. data-driven regression
QUESTION 24 The simultaneous regression method is also known as ______. a. data-driven regression b. sequential regression c. standard regression d. user-determined regression
QUESTION 25 The statistical regression method is also known as ______. a. data-driven regression b. simultaneous regression c. user-determined regression d. standard regression
QUESTION 26 When all predictor variables are entered into the equation in one step, the procedure is known as ______. a. hierarchical regression b. sequential regression c. simultaneous regression d. data-driven regression
QUESTION 27 When predictor variables are entered into the equation in steps determined by the researcher, the procedure is known as ______. a. sequential regression b. hierarchical regression c. simultaneous regression d. data-driven regression
QUESTION 28 When predictor variables are entered into the equation steps based on the predictive usefulness of individual variables, the procedure is known as ______. a. simultaneous regression b. statistical regression c. hierarchical regression d. sequential regression
QUESTION 29 If a researcher conducts a study using job status to predict college GPA codes students who work off-campus=0, on-campus job=1, and students who hold no job, students who hold no job would be coded by default as ______. a. 1, 0 b. 0, 0 c. 0, 1 d. 1, 1
QUESTION 30 If a researcher who wants to predict college GPA based on whether a student attended a public high school or a private high school codes public high school attendance as -1 and private high school attendance as +1, the researcher is using ______. a. dummy coding b. orthogonal coding c. linear contrasts d. effect coding
QUESTION 31 If the GPA of students having an on-campus job is always higher than the GPA for having an off-campus job, these variables are said to be______. a. monotonic b. orthogonal c. multicollinear d. standardized
QUESTION 32 Regression analyses that include dummy variables provides information about group means that is similar to the information provided by ______. a. ANOVA b. 2 c. biserial correlation d. Pearson correlation
QUESTION 33 The number of dummy variables necessary when a categorical variable includes k groups or categories is ______. a. k b. k + 1 c. k - 1 d. k2
QUESTION 34 When dummy variables are included in a regression equation, the usefulness of predictor variables is assessed by examining the increase in ______. a. Y' b. r c. R2 d.
QUESTION 35 When dummy variables are used as predictors in multiple regression, the b raw score slope coefficients provide information about ______. a. the interaction between changes in group membership and quantitative predictors b. changes in Y' for each change in group membership c. differences in the means of each group d. standardized changes in Y' for each change in X
QUESTION 36 Which of the following variables would be entered in a regression equation as a dummy variable? a. in a campus organization or not b. number of texts received while in class c. hours spent studying each week d. number of conversations initiated daily
QUESTION 37 An Industrial/Organizational psychologist who has collected data about job satisfaction using a paper-and-pencil survey might include a respondent's score on a verbal ability test in a regression equation in order to control for ______. a. calculation error b. assignment error c. measurement error d. standard error
QUESTION 38 What is the correct interpretation if the value of R 2 obtained from a regression equation in which cognitive ability and oral verbal ability were used to predict reading achievement is .36? a. 36% of the variation in reading achievement can be predicted by the combination of cognitive ability and oral verbal ability b. 64% of the variation in reading achievement can be predicted by the combination of cognitive ability and oral verbal ability c. the zero-order correlation between oral verbal ability and reading achievement was .64 d. the zero-order correlation between cognitive ability and reading achievement was .64
QUESTION 39 Procedures for using causal path coefficients to reproduce overall correlations between pairs of variables are referred to as ______. a. association rules b. weighting rules c. mediation rules d. tracing rules
QUESTION 40
If a researcher includes X squared in a regression equation, the researcher is taking into account ______.
a. skewed distributions
b. extreme outliers
c. multicollinearity
d. curvilinear relationships
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