Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. 7.8 161 Overhead Width (cm) 8.3 7.3 O Weight (kg) 212 166 Click the icon to view the critical values of the Pearson correlation coefficient r 9.9 276 The regression equation is y=x (Round to one decimal place as needed.) 9.1 215 9.7 262
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the prediction be correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05. 7.8 161 Overhead Width (cm) 8.3 7.3 O Weight (kg) 212 166 Click the icon to view the critical values of the Pearson correlation coefficient r 9.9 276 The regression equation is y=x (Round to one decimal place as needed.) 9.1 215 9.7 262
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section: Chapter Questions
Problem 4SGR
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Question
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Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the
prediction e correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
B
View an example Get more help.
Overhead Width (cm)
8.3
7.3
Weight (kg)
212
166
Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y=x
(Round to one decimal place as needed.)
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7.8
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Transcribed Image Text:5
x
Find the regression equation, letting overhead width be the predictor (x) variable. Find the best predicted weight of a seal if the overhead width measured from a photograph is 1.7 cm. Can the
prediction e correct? What is wrong with predicting the weight in this case? Use a significance level of 0.05.
B
View an example Get more help.
Overhead Width (cm)
8.3
7.3
Weight (kg)
212
166
Click the icon to view the critical values of the Pearson correlation coefficient r
The regression equation is y=x
(Round to one decimal place as needed.)
E
D
7.8
161
-26
HO
C
$
R
F
V
9.9
276
24
5
9.1
215
T
♫ONVAG
G
9.7
262
6
B
MacBook Air
Y
H
7
N
U
J
8
6
M
I
(
9
K
O
<
I
O
L
command
QQQQQQQQI
P
Clear all
>
;
x
[
option
11
Check answer
?
I
.
delete
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