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The second set of coefficients are found in the "Con" row (this time representing the comparison of the Conservatives category to the reference category, Labour)On the other hand, the taxtoohigh variable (the "taxtoohigh" row) was statistically significant because p = .014LoadingSign in Transcript Statistics Add translations 141,179 views 225 Like this video? Sign in to make your opinion countYou need to do this because it is only appropriate to use multinomial logistic regression if your data "passes" six assumptions that are required for multinomial logistic regression to give you a valid resultStatRegMethEdu 49,671 views 10:10 Interpreting the Odds Ratio in Logistic Regression using SPSS - Duration: 11:52

These pupils have been measured with 5 different aptitude tests one for each important category (reading, writing, understanding, summarizing etc.).Example nominal variables were provided in the previous bulletMultinomial Logistic Regression using SPSS Statistics Introduction Multinomial logistic regression (often just called 'multinomial regression') is used to predict a nominal dependent variable given one or more independent variablesCox & Snell's R is the nth root (in our case the 107th of the -2log likelihood improvementThese two measures of goodness-of-fit might not always give the same resultPractical Applications of Statistics in the Social Sciences 59,452 views 11:19 Part 2 logistic regression with spss.avi - Duration: 9:01

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