![]() ![]() Looks something like this, it would fit the data quite well. Way, is now we can use our tools of linear regressionīecause this data set, you could actually fitĪ linear regression line to this quite well. ![]() Taking the log of y, and thinking about that It looks like some type ofĪn exponential relationship, but the value of transforming the data, and there's different ways you can do it. Plotting x versus the log of y, or the log of y versus x, all And if you were to plot all of these, something neat happens. ![]() Of these data points, I did it on a spreadsheet. But for the y values, I just took the log base 10 of all of these. Of plotting x versus y, we can think about x We can apply our tools of linear regression to this dataset. ![]() So maybe we could fitĪn exponential to it. And some of you might be saying, well, this looks more like Of the square distances from the points to the line. Linear regression model to try to minimize the sum I'm just eyeballing it, obviously you can input it into a computer to try to develop a Regression or regression lines is can we fit a regression line to this? Well, if we try to, we might get something that looks like this, or maybe something that looks like this, Given that we've been talking a lot about lines of So we have some data here that we can plot on a scatter plot that looks something like that. ![]()
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May 2023
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