You have the following data:Student A took 2 courses in the Fall semester. His previous CGPA was 3.2. He received GPA 3.5 in the Fall semester.Student B took 5 courses in the Fall semester. Her previous CGPA was 3.9. She received GPA 3.6 in the Fall semester.Student C took 4 courses in the Fall semester. His previous CGPA was 3.6. He received GPA 3.4 in the Fall semester.Using this data, we'll try to build a model using Least Square approximation, that can predict the CGPA of a student in the Fall semester given the numberof courses s/he took in Fall, and his/her previous CGPA.(In real life, we'd use many more parameters, but for the sake of the quiz, we are keeping things simple.)The model is as follows -wi × (number of cour ses) + wz × (previouos CGPA) = GPA in FallFind the values of w1, and wy using Least Square approximation.(Round off up to 3 decimal points)1(a) wl is equal to ?1(b) w2 is equal to ?1(c) If a student took 4 courses in Fall, and his previous CGPA was 3.7,what would be his FALL GPA according to this model?1(d) What is the value of the Least Squared Error e of this approximation model?

“Since you have posted a question with multiple sub-parts, we will solve first three sub-parts for…

Answered: You have the following data: Student A…

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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