Descriptive Analysis in statistic calculations

analysis and interpretation by presenting the appropriate tables and charts along with descriptive
summary measure characterizations that serve as a prelude to regression modeling (i.e., using one of
your chosen numerical variables to predict the outcomes of the other chosen numerical variable). In
addition, you will use the categorical variable Gender as a “breakout” variable for comparisons with the
above two numerical variables. Moreover, you’ll use these two numerical variables, Gender, and the
other five selected categorical variables for “drill down” analysis with pivot tables (as learned in INFO
173). Lastly, you’ll use Gender with each of the five categorical variables for separate cross-classification
table and side-by-side chart analyses.

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Total price (USD) $: 10.99