You will analyze the following variables in the data set:Provide a context of the data set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each , pair (e.g., Pearson’s , Spearman’s , point-biserial , et cetera). Specify the sample size of the data set.Test the assumptions of correlation for and . Paste the SPSS histogram output for each variable and discuss your visual interpretations. Paste SPSS descriptives output showing skewness and kurtosis values and interpret them. Paste SPSS scatter plot output with gpa set to the horizontal axis and final set to the vertical axis. Conduct a visual inspection of the scatter plot to analyze other assumptions of correlation. Summarize whether or not the assumptions of correlation are met.Specify a research question related to and . Articulate the null hypothesis and alternative hypothesis. Specify your alpha level.Paste the SPSS output of the intercorrelation matrix for all specified variables.Discuss the implications of this correlation as it relates to the research question. Conclude with an analysis of the strengths and limitations of correlational analysis.Submit your assignment as an attached Word document in the assignment area. All weekly assignments are due by the end of the week on Sunday at 11:59 pm CST.
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nalyze the following variables in the data set:Provide a context of the data set. Include a definition of the specified variables and corresponding scales of measurement. Indicate the type of correlation for each , pair (e.g., Pearson’s , Spearman’s , point-biserial , et cetera).
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