![]() ![]() From that scatterplot, we would like to determine, what is the line of best fit that describes the linear qualities of the data, and how well does the line fit the cluster of points? It will likely be in the form of a cluster of data points on a scatterplot. In the real world, our data will not be perfectly linear. To predict y, we would just plug in the given values of x and b. Now, if the data were perfectly linear, we could simply calculate the slope intercept form of the line in terms y = mx+ b. We want to predict the value of y for a given value of x. In our case, y is the dependent variable, and x is the independent variable. Linear regression is a method for predicting y from x.
0 Comments
Leave a Reply. |