question archive Find a dataset (must have multiple columns with data at the interval or ratio measurement level), and examine and test the relationships between several variables

Find a dataset (must have multiple columns with data at the interval or ratio measurement level), and examine and test the relationships between several variables

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Find a dataset (must have multiple columns with data at the interval or ratio measurement level), and examine and test the relationships between several variables. Provide the R codes in the R-script file under the sub-heading Module 5, and the statistical outputs under the sub-heading "Module 5" in the Word file. In general, your statistical outputs should be titled and labeled so that they can stand on their own (and can be understood by anyone who looks at them for the first time).

  1. Produce and export at least one correlation table or correlation chart. A correlation chart is diagnostic, and should not be larger than 5 variables for reporting purposes. Why is this? Provide several sentences describing the key analytical findings.
  2. Produce and export at least one regression table. You may pick your own outcome and predictor variables. How does regression analysis differ from correlation analysis? Provide several sentences discussing the key results.

Submit a report that examines parts 1 and 2 and your R script.

Submit a report that examines parts 1 and 2 and your R script.

Submit a report that examines parts 1 and 2 and your R script.

Submit a report that examines parts 1 and 2 and your R script.

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