Substitute x value in a linear regression equation instead of writing it out?
Thanks to this handy post, I was able to generate a linear regression graph: http://stackoverflow.com/questions/45...
My input thus far in sage 5.9:
r = [[0,76.4], [1,78.5], [2,81.5], [3,87.8], [4,88.4], [5,92.4], [6,94.0], [7,95.0]] var('a,b') (a, b) #It seems this statement is extraneous model(x) = a*x+b find_fit(r, model) plot(model(a = find_fit(r, model).rhs(), b = find_fit(r,model).rhs()), 0,15, ymin = 0, ymax = 150)
What would be the most practical way of substituting the x value to generate an answer instead of:
Executing: find_fit(r, model) Then copying and pasting the answer: [a == 2.8690476152412128, b == 76.70833334665576]
And then having to manually write out, where number 15 represents what I wanted to put substitute for x: 2.8690476152412128 * (15) + 76.70833334665576
Also 1 of my other threads has an unsolved question, incase anyone's interested: http://ask.sagemath.org/question/2732...