University:
Davenport University
Course:
MATH 120 | College Mathematics
Academic year:

2022
Views:

185

Pages:

2
Author:

DrieniHooloki9

Pattern recognition of data by scatter plot Scatter plots are similar to line graphs in that they use horizontal and vertical axes to plot data points. However, they have a very specific purpose. Scatter plots show how much one variable is affected by another. The relationship between two variables is called their correlation. There are three types of correlation: positive, negative, and none (no correlation). • • • Positive Correlation: as one variable increases so does the other. ... Negative Correlation: as one variable increases, the other decreases. ... No Correlation: there is no apparent relationship between the variables. So, we plot data from two variables x and y and then we look at the pattern and see which of the following graph can be the best match then we have an evidence or lack of any relationship. In the below image the first two from top right suggest a positive linear relationship that we call positive correlation, the top right shows no pattern therefore there is no correlation between the 2 variables The two graphs from bottom left shows a negative correlation meaning as one increases the other one decreases and finally the bottom right suggests a carve type of relationship first decreases and then increases. Example: X: hours of study 5 10 13 8 6 4 1 2 3 4 5 6 Y: test scores 72 88 92 80 77 64 Is there a relationship or correlation between hours of study and test scores? To answer this question, we need to plot scatter plot and look at the pattern. 95 90 85 80 75 70 65 60 55 50 3 5 7 9 11 13 15 Conclusion the pattern of data points suggests that yes there is a strong correlation between these two variables meaning the high scores on the tests are tied to more study hours. You can do scatter plots by hand or by using this website. http://www.endmemo.com/plot/scatterplot.php