The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the alumni association at a certain university from a certain graduate class, and x, the number of years following graduation for that class. Complete parts (a) through (c) below. Click the icon to view the contribution data. (a) Fit a regression model of the type μyx = ẞo +ẞ1×1. ŷ= -587 + (428) ×₁ (Round to the nearest integer as needed.) (b) Fit a quadratic model of the type μyx = Po +ẞ₁×₁ +B₁₁x²₁. ŷ = ] + (1) ×₁ + ( )× (Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest integer as needed.) Contribution Data y x y X 812.42 1 2754.00 11 821.50 2 4391.50 12 1209.50 3 5578.50 13 1355.00 4 5545.00 14 1299.00 8 6084.00 15 2562.50 9 5762.00 16 2528.50 10 8907.00 17
The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the alumni association at a certain university from a certain graduate class, and x, the number of years following graduation for that class. Complete parts (a) through (c) below. Click the icon to view the contribution data. (a) Fit a regression model of the type μyx = ẞo +ẞ1×1. ŷ= -587 + (428) ×₁ (Round to the nearest integer as needed.) (b) Fit a quadratic model of the type μyx = Po +ẞ₁×₁ +B₁₁x²₁. ŷ = ] + (1) ×₁ + ( )× (Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest integer as needed.) Contribution Data y x y X 812.42 1 2754.00 11 821.50 2 4391.50 12 1209.50 3 5578.50 13 1355.00 4 5545.00 14 1299.00 8 6084.00 15 2562.50 9 5762.00 16 2528.50 10 8907.00 17
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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Question
I need help with part b in the attached question. Please make sure to Round the x1^2-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest integer as needed. Thanks
![The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the
alumni association at a certain university from a certain graduate class, and x, the number of years following
graduation for that class. Complete parts (a) through (c) below.
Click the icon to view the contribution data.
(a) Fit a regression model of the type μyx = ẞo +ẞ1×1.
ŷ= -587 + (428) ×₁
(Round to the nearest integer as needed.)
(b) Fit a quadratic model of the type μyx = Po +ẞ₁×₁ +B₁₁x²₁.
ŷ = ] + (1) ×₁ + ( )×
(Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest
integer as needed.)](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F69ad1442-ca35-4ac2-a8c5-c5a11f3738cc%2Ffeed8259-e06c-4e0a-96df-93f1f223a602%2Fm72pi4q_processed.png&w=3840&q=75)
Transcribed Image Text:The accompanying values are a set of data for y, the amount of money (in thousands of dollars) contributed to the
alumni association at a certain university from a certain graduate class, and x, the number of years following
graduation for that class. Complete parts (a) through (c) below.
Click the icon to view the contribution data.
(a) Fit a regression model of the type μyx = ẞo +ẞ1×1.
ŷ= -587 + (428) ×₁
(Round to the nearest integer as needed.)
(b) Fit a quadratic model of the type μyx = Po +ẞ₁×₁ +B₁₁x²₁.
ŷ = ] + (1) ×₁ + ( )×
(Round the x-coefficient to one decimal place as needed. Round all other constants and coefficients to the nearest
integer as needed.)
Transcribed Image Text:Contribution Data
y
x
y
X
812.42
1
2754.00
11
821.50
2
4391.50
12
1209.50
3
5578.50
13
1355.00
4
5545.00 14
1299.00
8
6084.00
15
2562.50
9
5762.00
16
2528.50
10
8907.00
17
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