2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use a linear regression calculation tool. Round your answers to the nearest hundredth. 36
2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use a linear regression calculation tool. Round your answers to the nearest hundredth. 36
Advanced Engineering Mathematics
10th Edition
ISBN:9780470458365
Author:Erwin Kreyszig
Publisher:Erwin Kreyszig
Chapter2: Second-order Linear Odes
Section: Chapter Questions
Problem 1RQ
Related questions
Question
Could you please look at question 2. The instruction say to use a linear regression calculation tool. Isn’t this a graphing calculator?
In a prior question, a rep sent a answer where I have no idea where they are getting this answer or why they are solving this problem this way. Could you please review
Thank you,
Ryan

Transcribed Image Text:. AT&T LTE
←
steep: -2
assume
then
then
a
1:34 PM
is
put
y = mx + c
y = 10.35
2=19
8
line equation is
y = 10.3
X=19-5
10.35 =19M + 8
10-30= 19.5m + 8
y
0.05 -0.5m
M = 0,05
0,50
1m² -0.1
then
10.35 -1.9+(
12.25 = c
equation ofline
=-0.1
= -0.1 x + 12.25
√x
20%0
Do

Transcribed Image Text:Y
X
arb
1.5 Lab Activity
In BMX dirt bike racing, jumping high (or "getting air") depends on many factors including rider's skill,
angle of the jump, and weight of the bike. Here is data about the maximum jump heights for various bike
weights.
Height 10.35 10.3
(inches)
19 19.5
Weight
(pounds)
10.25
weight
Height
20
The data appears to
be linearly related
10.2 10.1 9.85
20.5
1. Sketch a graph of the data. Consider which quantity should be the dependent variable and which
quantity should be the independent variable. Does the data appear to be linearly related?
independent:
<+ (x)
dependent:
(y)
21
20+
Erist
2 10+
5
9.8 9.79 9.7 9.6
22 22.5 23 23.5 24
(x) weight / height(y)
19
10.35
19.5
10.3
10 20
30 40 50 60 10
(weight)
2. Examine the graph of the data using a graphing utility. Find an equation that models the data. Use a
linear regression calculation tool. Round your answers to the nearest hundredth.
y=-0.16x +13.35
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