Hello there! Can you help me solve a problem with two subparts? Thank you! Question: If a machine learns the least-squares line that best fits the data shown below, what will the machine pick for the value of y when x= 2? How closely does this match the data pt at x = 2 fed into the machine? (0, 2), (1, 2), (2, 5), (3, 5) First subpart When x = 2, the machine will pick a value of __ for y. Second subpart Three options: (a) This is __ away from the y-value fed into the machine for x= 2, which is too large to be expected for the best fit line. (b) This is exactly the same as the data point fed into the machine. (c) This is __ away from the y-value fed into the machine for x= 2, which is reasonably close considering the range of y-values in the data set.
Hello there! Can you help me solve a problem with two subparts? Thank you! Question: If a machine learns the least-squares line that best fits the data shown below, what will the machine pick for the value of y when x= 2? How closely does this match the data pt at x = 2 fed into the machine? (0, 2), (1, 2), (2, 5), (3, 5) First subpart When x = 2, the machine will pick a value of __ for y. Second subpart Three options: (a) This is __ away from the y-value fed into the machine for x= 2, which is too large to be expected for the best fit line. (b) This is exactly the same as the data point fed into the machine. (c) This is __ away from the y-value fed into the machine for x= 2, which is reasonably close considering the range of y-values in the data set.
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
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Hello there! Can you help me solve a problem with two subparts? Thank you!
Question: If a machine learns the least-squares line that best fits the data shown below, what will the machine pick for the value of y when x= 2? How closely does this match the data pt at x = 2 fed into the machine?
(0, 2), (1, 2), (2, 5), (3, 5)
First subpart
When x = 2, the machine will pick a value of __ for y.
Second subpart
Three options:
(a) This is __ away from the y-value fed into the machine for x= 2, which is too large to be expected for the best fit line.
(b) This is exactly the same as the data point fed into the machine.
(c) This is __ away from the y-value fed into the machine for x= 2, which is reasonably close considering the range of y-values in the data set.
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