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 Hylx = ẞo +ẞ1×1. ŷ= + (1) ×₁ (Round to the nearest integer as needed.)

Calculus For The Life Sciences
2nd Edition
ISBN:9780321964038
Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.
Chapter1: Functions
Section1.CR: Chapter 1 Review
Problem 86CR
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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
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
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 Hylx = ẞo +ẞ1×1.
ŷ= + (1) ×₁
(Round to the nearest integer as needed.)
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 Hylx = ẞo +ẞ1×1. ŷ= + (1) ×₁ (Round to the nearest integer as needed.)
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