 Hi, this is Dr. Don. I want to take a few minutes and do a quick walkthrough of the lab four remix and report assignment. This is on correlation and regression modules. And here is in the lab manual, that remix page, giving you the link to RStudio Cloud. You know, the name is changing to Posit, still be the same as functionality, but it'll be Posit Cloud instead of RStudio Cloud. I've updated this web page. And there's some instructions there, you know, put your name at the top. You can rename the file if you like. This helps me out a little bit. And then always we have to load the libraries. And that'll be in your worksheet. And then there's some warmup exercises that I think you should go through. They're good. They'll help you with understanding and also maybe some ideas for running the actual assignment part. But I'm going to skip that. You can work through that. All the code is there. And we're going to go down to the first question. And it says for question one, we are working again with the World Happiness Report. The data file is in your data folder in your RStudio Cloud workspace. And here's the code for you can copy that. And then the question further says for the year 2005 only just one year, we want to find the correlation between perceptions of corruption. That's one variable. And then positive effect, another variable. And then we create a scatter plot to visualize this. And then it wants you to write up your ideas and conclusions about what this is. So, further, there's a couple of hints that are important. It says hint one, see code chunks nine through 11 and rehearse one lab four part four. And that gives you the code chunk. I think I actually put it into the rehearse worksheet. So that's where it came from. And then the second hint to add a filter to the data, see lab two, rehearse one graphing data in such an 8.2.5 code chunk 29. So you can navigate back to your lab two and get that. But I'll show you briefly how it works in this video. Then there's a second question. Still working World Happiness Report. And it says what has happened to log GDP per capita? That's the name of a new variable. And it says this is a measure of GDP, which it is stated in log terms instead of the normal scale. In the United States only. So we only want United States one country with year as our other variable. And when they're explained this relationship, write a scatter plot. And it said, again, here's a hint to add a filter. And we'll just build on what we did in question one. And then the third question is on a regression. It's based on rehearse two, which is about linear regression. And use this code chunk to load the data frame we created in rehearse two. And there is the data frame we need from Dr. DeVue, Saratoga.tex, run that code chunk. And then it gives you more help there. I want to know, is there a linear relationship between price and land value? And we'll have to do some editing, I imagine, to change out the variables. And then there's this code there, model, linear model, sales as a function of YouTube, data equal marketing. Now that's obviously not what we're going to use. You would put in there the real data. And then our two variables would be price as a function of little tilde there, a symbol is function of, you read it that way, land value. And then down here in the scatter plot the same thing, we would change out living area and price, excuse me, living area for land value, we could leave price where it is and just change out living area everywhere to land value. And that should be it. And then there's two more questions down at the bottom, actually three more that you should answer to, they don't require any coding, it's just those are think questions, but you should go through and answer those. So let's jump over to question one.