In this graph you see that there is a relationship between my classes shoe size and height. There is a correlation and you can tell that its positive due to the dots rising from the left to the right. Looking at the plot it seems to me that the shoe size does not affect the the cause of the height; but as for the height affecting the shoe size i do belive that as the height progresses the shoes size get bigger. The correlation of this graph is not a imly causaility.
From what I see in this scatter plot,the results of my class are placed everywhere around the graph. You cant seem to choose if the gragh is a positive or negative correlation and because of that there is none. The graph gives me the information that my class has a variety of hair lengths no matter how tall or short the student is. What I find unusual from the data points is the tallest person has the shortist hair and the fairly tall person has the longest hair length. If I were to throw out the outliers out of the data set the correlation would be a positive one. The information that could be helpful in interpreting the data is to add the sexes of each dot in two seprate colors.
