|March 20th, 2017, 06:03 PM||#1|
Joined: Nov 2016
Method of Least Squares
I've attached the question and my worked solution.
I am confident I have the correct least squares straight line of best fit to the data to 2 d.p., but I'm unsure what is being asked in the next part.
Am I to sub the xi values into the least squares straight line of best fit to acquire yi estimates?
And if so, I know there will be variation. How would you explain the accuracy of such variation?
|March 29th, 2017, 10:16 PM||#3|
Joined: Jul 2008
From: Western Canada
The parameters that you calculated for your regression line look correct.
|March 29th, 2017, 10:20 PM||#4|
Joined: Sep 2015
you've estimated a linear model given this data.
$y(x) = 8.71x + 31.91$
for each $x_i$ find $y(x_i) = 8.71x_i + 31.91$
Plot these points in one color and your actual data points in another.
You'll find the data isn't particularly linear in this case.
|April 2nd, 2017, 04:08 PM||#5|
Joined: Oct 2013
From: New York, USA
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