# Multiple Regression Analysis Exam For Pathology Severity, Perception, Memory, Speak, And Hear

1254 WordsMar 10, 20176 Pages
Module PS71020D MSc Statistics Coursework 2016-2017 Module co-ordinator Dr Devin Terhune Candidate number 33440401 Title Multiple Regression Analysis Exam Word count 1242 Results Delusional ideation A multiple regression analysis was run to predict delusional ideation from pathology severity, perception, memory, speak vs. hear, and imagine vs. hear with forced entry. There was linearity as assessed by partial regression plots and a plot of studentized residuals against the predicted values. There was independence of residuals, as assessed by a Durbin-Watson statistic of 2.011. There was homoscedasticity, as assessed by visual inspection of a plot of studentized residuals versus unstandardized predicted values. There was evidence…show more content…
There were no studentized deleted residuals greater than ±3 standard deviations, no leverage values greater than 0.2, and values for Cook 's distance above 1. The assumption of normality was met, as assessed by Q-Q Plot. The multiple regression model statistically significantly predicted hallucination history, F(4, 175) = 89.89, p < .005, adj. R2 = 66.5%. All variables added statistically significantly to the prediction, p < .05. Regression coefficients and standard errors can be found in Table 2 (below). Table 2: Summary of Multiple Regression Analysis (Hallucination history) Multiple regression analysis was run to predict hallucination history from metacognition variables; perception and memory. The model statistically significantly predicted hallucination history, F(2, 177) = 11.88, p < .000, adj. R2 = 10.8%. All variables added statistically significantly to the prediction, p < .05 Multiple regression analysis was run to predict hallucination history from source monitoring variables; speak vs. hear and imagine vs. hear. The model statistically significantly predicted hallucination history, F(2, 177) = 171.7, p < .000, adj. R2 = 65.6%. All variables added statistically significantly to the prediction, p < .05 Table 3: Correlation Matrix for Hallucination history Discussion The prediction model for delusional ideation was not statistically