Complete the following tasks outlined below. Module 6: R Practice Assignment Assignments Instructions It's time to...

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Complete the following tasks outlined below. Module 6: R Practice Assignment Assignments Instructions It's time to look deeper into a dataset to examine relationships between variables. You will also combine all the information you gathered about the data and write a final report. Supporting Files Using the dataset provided by your instructor (Use the dataset at https://raw.githubusercontent.com/mwaskom/seaborn- data/master/iris.csv >), examine and test the relationships between several variables. Provide the R codes in the R-script file under the sub-heading Module 6, and the statistical outputs under the sub-heading "Module 6" 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. Using an appropriate variable, create dummy variables to subset your dataset. Then rerun your regression line for your dependent variable. How many subsets did you create? How many lines are there? Create a scatterplot with multiple regression lines. How does this impact your understanding of the impact of the categorical variable on the regression? 2. Using the appropriate subsetted data from step 1, create separate regression lines for each subset. How do these regression lines differ from the regression lines in step 1? How does this method of looking at the data impact your understanding of the data? What to Submit Submit a report in PDF format that examines parts 1 and 2 and your R script. Complete the following tasks outlined below. Module 6: R Practice Assignment Assignments Instructions It's time to look deeper into a dataset to examine relationships between variables. You will also combine all the information you gathered about the data and write a final report. Supporting Files Using the dataset provided by your instructor (Use the dataset at https://raw.githubusercontent.com/mwaskom/seaborn- data/master/iris.csv >), examine and test the relationships between several variables. Provide the R codes in the R-script file under the sub-heading Module 6, and the statistical outputs under the sub-heading "Module 6" 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. Using an appropriate variable, create dummy variables to subset your dataset. Then rerun your regression line for your dependent variable. How many subsets did you create? How many lines are there? Create a scatterplot with multiple regression lines. How does this impact your understanding of the impact of the categorical variable on the regression? 2. Using the appropriate subsetted data from step 1, create separate regression lines for each subset. How do these regression lines differ from the regression lines in step 1? How does this method of looking at the data impact your understanding of the data? What to Submit Submit a report in PDF format that examines parts 1 and 2 and your R script.