please see attached - thank you in advance predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. CarCritical Values of the Pearson Correlation Coefficient r0.4020.0000.4680.4560.4440.3960.5900.5750.5610.5050.4630.4300.4020.37818192025303540455060700.3610.3350.3120.2940.2790.2540.2360.2200.2070.1960.3610.3300.3050.2860.2690.2568090100Ina= 0.05a= 0.01 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 2.2 cm. Can the prediction be correct? Whwrong with predicting the weight in this case? Use a significance level of 0.05Overhead Width (cm)Weight (kg)8.32037.49.89.78.27.9Critical Values of the Pearson Correlation Coefficient r192295264219212Click the icon to view the critical values of the Pearson correlation coefficient r.a= 0.050.95010.878INOTE: To test H: p = 0against H,: p# 0, reject H,if the absolute value of r isgreater than the criticalIvalue in the table.na= 0.01The regression equation is y =O+x.1415160.9900.959(Round to one decimal place as needed.)0.8110.7540.7070.6660.6320.6020.5760.5530.9170.875819101112130.8340.7980.7650.7350.7080.6840.6610.6410.623|0.606to con140.532Enter your answer in the edit fields and then click Check Answer.1516170.5140.4970.482to scopartsremainingiswerLoico

Answered: Image /qna-images/answer/334038b0-696c-488d-aa2e-e8ec23753da2.jpg

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 2.2 cm. Can the prediction be correct? wrong with predicting the weight in this case? Use a significance level of 0.05. 9.7 8.3 203 Overhead Width (cm) 7.4 9.8 8.2 7.9 295 219 1 Critical Values of the Pearson Correlation Coefficient r Weight (kg) 192 264 212 A Click the icon to view the critical values of the Pearson correlation coefficient r. a= 0.05 NOTE: To test Ho: p = 0 |against H,: p# 0, reject H, lif the absolute value of r is greater than the critical ]value in the table. In a= 0.01 The regression equation is y =O+Dx. (Round to one decimal place as needed.) 4 5 0.990 0.959 0.950 0.878 0.811 0.754 0.707 |0.666 0.632 6 17 0.917 0.875 0.834 0.798 0.765 9 10

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 2.2 cm. Can the prediction be correct? wrong with predicting the weight in this case? Use a significance level of 0.05. 9.7 8.3 203 Overhead Width (cm) 7.4 9.8 8.2 7.9 295 219 1 Critical Values of the Pearson Correlation Coefficient r Weight (kg) 192 264 212 A Click the icon to view the critical values of the Pearson correlation coefficient r. a= 0.05 NOTE: To test Ho: p = 0 |against H,: p# 0, reject H, lif the absolute value of r is greater than the critical ]value in the table. In a= 0.01 The regression equation is y =O+Dx. (Round to one decimal place as needed.) 4 5 0.990 0.959 0.950 0.878 0.811 0.754 0.707 |0.666 0.632 6 17 0.917 0.875 0.834 0.798 0.765 9 10

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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Concept explainers

Average

In mathematics, everyone must have heard the term average in one place or other. Almost all types of calculation require taking out an average. In everyday life, the term is used for denoting a certain amount that can be said to be a typical quantity for multiple people or objects. In other words, if a group of people possesses a certain object, then the average gives us an idea regarding the quantity of the object possessed by each person. However, this is solely based on mathematical calculation. It is important to note that most people will not strictly have the average value in a group.

Question

please see attached - thank you in advance

predicted weight of a seal if the overhead width measured from a photograph is 2.2 cm. Car
Critical Values of the Pearson Correlation Coefficient r
0.402
0.000
0.468
0.456
0.444
0.396
0.590
0.575
0.561
0.505
0.463
0.430
0.402
0.378
18
19
20
25
30
35
40
45
50
60
70
0.361
0.335
0.312
0.294
0.279
0.254
0.236
0.220
0.207
0.196
0.361
0.330
0.305
0.286
0.269
0.256
80
90
100
In
a= 0.05
a= 0.01

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 2.2 cm. Can the prediction be correct? Wh
wrong with predicting the weight in this case? Use a significance level of 0.05
Overhead Width (cm)
Weight (kg)
8.3
203
7.4
9.8
9.7
8.2
7.9
Critical Values of the Pearson Correlation Coefficient r
192
295
264
219
212
Click the icon to view the critical values of the Pearson correlation coefficient r.
a= 0.05
0.950
10.878
INOTE: To test H: p = 0
against H,: p# 0, reject H,
if the absolute value of r is
greater than the critical
Ivalue in the table.
n
a= 0.01
The regression equation is y =O+x.
14
15
16
0.990
0.959
(Round to one decimal place as needed.)
0.811
0.754
0.707
0.666
0.632
0.602
0.576
0.553
0.917
0.875
8
19
10
11
12
13
0.834
0.798
0.765
0.735
0.708
0.684
0.661
0.641
0.623
|0.606
to con
14
0.532
Enter your answer in the edit fields and then click Check Answer.
15
16
17
0.514
0.497
0.482
to sco
parts
remaining
iswer
Loico

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