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Please use RStudio, any other programming language will not be supported. Thank you - Pre-lab work - Complete the pre-lab tutorials for Lab 4 first:

image text in transcribedimage text in transcribedPlease use RStudio, any other programming language will not be supported.

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- Pre-lab work - Complete the pre-lab tutorials for Lab 4 first: https://stat212-learnr.stat.illinois.edu/ - Install the mosaicData package, and then library it as well (install the same way we installed tidyverse!) - Next, open the two datasets we will use for this investigation: View (Births2015) and View (SAT) - Remember to also library (tidyverse) so that you can use the ggplot function to visualize the data. - Coding Tip: Remember that R is CaSe AnD sYmBoL_SeNsItIvE. Be aware of capitalized and non-capitalized letter when writing data names and variable names. Question 2 (5pts): Next, let's try creating a scatterplot with births on the y axis and date on the x axis. This will help us see if the time of year might explain some of the variation we see in number of births. Include the image of your scatterplot - Add an appropriate title Include your R code for this question Briefly describe what you see. What trends do you see between time of year and number of births? Does time of year explain most of the variability in births, or do you think there is still a lot of variability leftover

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