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In This Experiment,the Risk-Taking Propensity of 90 Inner City Drug

Question 19

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In this experiment,the risk-taking propensity of 90 inner city drug users was measured using a repeated measures test called the Behavioral Analogue Risk Task (BART;Lejuez et al. ,2002) .The higher the BART score,the higher the risk-taking propensity.Participants also filled out questionnaires so that their Psychopathic Personality Inventory (PPI) scores could be computed.PPI scores are used to detect psychopathic traits in a covert manner and are a common indicator of one's level of psychopathy.The main goal of the experiment was to examine the relationship between risk-taking (measured by BART) based on one's level of psychopathy (measured by PPI on a scale of 0-100) ,gender (1 for male and 2 for female) ,and heroin use (1 for heroin use and 0 for no heroin use) .Below is a partial output of a multiple regression analysis. In this experiment,the risk-taking propensity of 90 inner city drug users was measured using a repeated measures test called the Behavioral Analogue Risk Task (BART;Lejuez et al. ,2002) .The higher the BART score,the higher the risk-taking propensity.Participants also filled out questionnaires so that their Psychopathic Personality Inventory (PPI) scores could be computed.PPI scores are used to detect psychopathic traits in a covert manner and are a common indicator of one's level of psychopathy.The main goal of the experiment was to examine the relationship between risk-taking (measured by BART) based on one's level of psychopathy (measured by PPI on a scale of 0-100) ,gender (1 for male and 2 for female) ,and heroin use (1 for heroin use and 0 for no heroin use) .Below is a partial output of a multiple regression analysis.   Does this model seem like an adequate model to predict risk-taking propensity? A) No,the R-squared value is very low and most of the variables are not statistically significant. B) Yes,the r correlation is very strong. C) This cannot be determined from the given information. Does this model seem like an adequate model to predict risk-taking propensity?


A) No,the R-squared value is very low and most of the variables are not statistically significant.
B) Yes,the r correlation is very strong.
C) This cannot be determined from the given information.

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