hello and welcome back to chief math in today's lesson we are going to be learning how to interpret scatter plots we're going to take a look at them and see how they work so the first thing is we're going to take a look at what does a scatter plot look like so the first thing is that most scatter plots are in the first quadrant of the XY coordinate plane and so we mostly only deal with positive numbers when it comes to scatter plots but you can go into the negative as well but we're going to be dealing with the first quadrant here and scatter plots have random points that represent different types of data they could be anything and so let's say a survey was done and all of this information was put in we plotted all the points and this is what would happen okay now if you look at the different points there's there's good points and bad points but let's take a look at this one right here this one I like to call a crosshair point because it looks like it's sitting on a crosshair and and the reason I like the crosshair point most people do is because they have really easy point numbers right eight and six right eight six is the point there so be thinking about that when you are choosing different points if we take a look at some some point down here you can see that it's kind of hard to tell where the X is is it good it's between three and four somewhere but kind of closer towards the four we can't really tell exactly so when it comes to two good points and bad points and scatter plots just be thinking about the difference between a crosshair point and a non crosshair point all right now sometimes scatter plots have trends so let's take a look at this set of data right here these points and as you can see it's looks like it's kind of going up from left or right there's some sort of pattern or trend that is going up to the right and this is called a positive trend it's when it's going upward from left to right and we put a line in there just to kind of show you what direction it's going we call those lines line a best-fit but we'll be talking about those in another video sometimes trends appear to be going downward and so you can see from left to right it is going in the downward trend and so we call this a negative trend when it's going downward from left to right okay in the last trend or non trend is this this is a scatter plot that seems to have no particular trend at all this is just a random set of data and so this is technically called no trend there's no visible pattern to them okay and that is almost it we're going to be making predictions sometimes when it comes to trends so let's say we were given this particular set of data and we're asked predict what Y will be when X is 8 so if X is 8 here's 8 let's look at the graph and if we go up into the middle of the data right there okay let's put a line of best fit in there just to kind of see where the where the trend is kind of going so it's kind of hard to pinpoint an exact line it's gonna be somewhere in this general area and so if you pick nine nine and a half ten it wouldn't be wrong per se it would definitely be in the right area predictions are educated guesses and so that would be a good guess now you wouldn't say something like two because two is way out of this trend okay so that's how you find you know a missing prediction and that's about it for interpreting a scatterplot I think it's pretty easy pretty straightforward the two keys are - I'd be able to identify a trend right and being able to predict where one of the points should be in that trend of data all right well thank you for watching and we'll see you next time