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Explain which variables are good and poor candidates for a correlation analysis and give your rationale.Properly embed SPSS output where appropriate in your answer to Question 9 below. Then double-click a path diagram in the View Path Diagrams window. Create a scatter plot for the “poor candidate” variable using one of the two good variables. Statistics IBM SPSS Amos 19 View Path Diagrams.For example, the original Statistics 19 release.
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This could cause some confusion because prior to the full transition, SPSS had made available several 'HotFixes' that had been numbered 19.0.0.1 through 19.0.0.9, including a separate HotFix 'Bundle' that contained HotFixes 19.0.0.1 through 19.0.0.6. You may notice that in the transition from SPSS to IBM versioning nomenclature, an additional number was added. Create a scatter plot for the two “good candidate” variables. Thus, under the new numbering scheme, the Statistics '19.0.0.1 FixPack' is what would have been known before the transition as the Statistics '19.0.1 Patch'.Use the FREQUENCIES procedure to obtain a histogram and all univariate descriptive statistics for each of the three variables.