Despite nearly all the other functions leading to differing results between both sets of values, Variance, Interquartile and Standard Deviations actually returned equal values for both.
The original A and B matrices ended up not being in a proper format in order to find their inverse, so a fair bit of working around had to be done in order to find the solution. The process can be seen below: GitHub link for code: https://github.com/Retrolovania/R_Programming/blob/main/Module%205.R
Rather than use base R syntax for making a chart, I opted instead to use ggplot2, as it provides more options and is something I'm much more comfortable with and understand better. This graph showcases the price trend of a certain video game over time since its release in 2007. Over time, the price per copy has fallen, and then steadily rose during the pandemic years. While Stephen Few argues for the notion that correlation does not equal causation, I believe the pandemic could certainly be theorized as a contributing factor for the sharp increase in price per copy.
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