2 questions about scatter plots. Medals :] How can I determine the line of best fit, and how will this help me to make predictions? How can I assess the accuracy of my line of best fit?
@hartnn @igreen @perl
Use GeoGebra..that's what my school told me to use.
XD lol I need the other, non-tech-y way.
I don't know any other way..but you can give me your table or whatever and I can do it for you.
Its asking in general, there is no table. Besides, no direct answers lol
Oh, well I thought this would be for like an assignment..lol.
Well, telling you how to do it would be giving you the answer, wouldn't it..?
Lol, well I have no choice anyway..this is one of those questions where its impossible not to give you a direct answer.
I found this: To calculate a line of best fit for a set of data: Graph the data as a scatter plot. Draw a line through the middle of the points plotted. It does not need to connect all of the points. Use two of the points on the line and the point-slope formula, y−y1=m(x−x1), to write the equation of the line. Convert the equation of the line to slope-intercept form so that you can make predictions or answer questions about the data. You can also use technology such as GeoGebra and graphing calculators to assist finding the best model for a set of data. To determine the accuracy of your line of best fit: Use the equation of the line to calculate the predicted values (^y) Calculate the residuals by finding the difference between each actual value and the predicted value Choose one of the two options: Find the sum of the residuals. The closer to zero it is, the more accurate the line will be. Plot the residuals. If they are randomly distributed above and below the x-axis, the line will be accurate.
I'm going to use it. :]
Or you could say to find the slopes between all of them, then find the average (mean) between them.
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