 straight line. Let's make it orange like I normally do. I like to have the trend line be orange because that's the trendy thing for lines these days. If you're going to the party, a line party, then you should be dressed up in orange because that's what trend lines, that's trendy. Okay, we get it. So there's that. Let's go ahead and do this calculation then with our data tab set so we can do it this way. So here's our data analysis. If you don't have that, it's in the file tab. It's in the options. It's in the add ends. I'm doing this fast because we've seen this before the Excel add ends. And then there's the tool pack. If you want to run with the cool cats, you need the analysis tool pack. All right. So then we're going to say then we're going to say data and add the tool pack. And we want to calculate the correlation data points are going to be these data points. And I'm going to say, okay, I picked the label. So I'm going to pick the label and check that off. And then where do I want to put it? Not there. I'm going to put it where does it need to be? It's going to be right there in our R one, say okay. And then boom. So you can see there's a zero correlation between the X and the Y here. Now if I did the same one, less the last data point, let's see what happens, right? I'll get a much different result. So I'm going to say data output data analysis correlation. And let's say that I take my data, but I take it up from here to here. And I don't include that last point. What do you think is going to happen? Let's see labels output. Where do I want this one needs to be in a different spot? You can't put it on top of the other one. Excel, put it over here. And then okay. So now you get a one, which is a perfect correlation. So this is this is the without the last point. So total data set without last point. Maybe I should put this down here. Or maybe I should put this right up here. That's what I should do. And then I'll make this a little bit wider. And there we have it. Okay, let's make this smaller. Okay, so that's the point. That's the point. So we need to we need to we need to look into it a little bit deeper oftentimes still can't just rely on. So if I for example if I was to use this thing and I just spit out this number, and that's all I did, then then I would say I was zero correlation. But if I just look at the data with this small bit of data, say, Well, that sounds kind of funny. If I graphed the data, I'd be like, huh, that's looks like it's straight line, but it's got a zero core. That seems kind of weird. And then if I actually did the z scores like this, I'm much more likely to say it looks maybe there's something more going on that we should be looking at. All right, let's make it nice. Let's put some blue borders around this home tab font group. I'm going to go to the blue drop down. If you don't have that blue drop down, it's in the standard blue. And let's put some borders around it. And then we'll do that all the way across blue bordered, border blue, border blue, border blue. And let's do it here too. For the border blue, border blue, and here too. For the border blue, border blue. And then here too. For the border blue, let's make this top bit black and white. Let's go to the black drop down and the white for the header. And this one's going to be black, white for the header. These, all these could probably be thinner. Because you just have a one in there that doesn't ones don't take a lot of space. And then I can select all the skinnies. I'm holding down control and then letting go of control holding down control so we can even out the skinnies. So we have uniform skininess. All the skinnies should be uniform. Okay, and then I can check the spelling because I think I got correlation correct this time. Look at that. I know how to spell correlation now. You spell it stupidly because that's the way that English does it with an E there when even though you say it with an A, because that's how that's how you say it in American. I speak American. Anyway, you speak English. I speak American. Okay, whatever.