ork_OQuestion 3Score: 0 33 of 1 pa>Table of Critical Valuesthea = .05a = 01.950.9905.878.959.811.917.754875.707834.666.79810.632.76511.602.73512.576.70813.553.68414.532.66115.514.64116.497.623em17482.6061846859019.456.57520.444.561pre2539650530361463353354304031240245294378clae cclajPrintDoneec Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)1081311144127y9.148.138.738.779.258.116.133.119.137.274.74Click here to view a table of critical values for the correlation coefficient.a. Construct a scatterplot. Choose the correct graph below.A.В.C.D.Ay10-10-10-10-8-8-8-8-6-6-6-...4-4-4-4-2-2-2-2-0440-0-0-412 16812 16488 12 16b. Find the linear correlation coefficient, r, then detemine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.The linear correlation coefficient is r=.(Round to three decimal places as needed.)Using the linear correlation coefficient found in the previous step, detemine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.Choose the correct answer below.A. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.OC. There is insufficient evidence to support the claim of a linear correlation between the two variables.O D. There is sufficient evidence to support the claim of a linear correlation between the two variables.of

ork_O Question 3 Score: 0 33 of 1 pa > Table of Critical Values the a = .05 a = 01 .950 .990 5 .878 .959 .811 .917 .754 875 .707 834 .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 em 17 482 .606 18 468 590 19 .456 .575 20 .444 .561 pre 25 396 505 30 361 463 35 335 430 40 312 402 45 294 378 cla e c claj Print Done ec

ork_O Question 3 Score: 0 33 of 1 pa > Table of Critical Values the a = .05 a = 01 .950 .990 5 .878 .959 .811 .917 .754 875 .707 834 .666 .798 10 .632 .765 11 .602 .735 12 .576 .708 13 .553 .684 14 .532 .661 15 .514 .641 16 .497 .623 em 17 482 .606 18 468 590 19 .456 .575 20 .444 .561 pre 25 396 505 30 361 463 35 335 430 40 312 402 45 294 378 cla e c claj Print Done ec

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

Estimation

A new framework of data analysis where the new statistical methods are used for interpreting the results and analyzing the data is known as estimation in statistics.

Question

Use the given data set to complete parts (a) through (c) below. (Use a = 0.05.)
10
8
13
11
14
4
12
7
y
9.14
8.13
8.73
8.77
9.25
8.11
6.13
3.11
9.13
7.27
4.74
Click here to view a table of critical values for the correlation coefficient.
a. Construct a scatterplot. Choose the correct graph below.
A.
В.
C.
D.
Ay
10-
10-
10-
10-
8-
8-
8-
8-
6-
6-
6-
...
4-
4-
4-
4-
2-
2-
2-
2-
04
4
0-
0-
0-
4
12 16
8
12 16
4
8
8 12 16
b. Find the linear correlation coefficient, r, then detemine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
The linear correlation coefficient is r=.
(Round to three decimal places as needed.)
Using the linear correlation coefficient found in the previous step, detemine whether there is sufficient evidence to support the claim of a linear correlation between the two variables.
Choose the correct answer below.
A. There is insufficient evidence to support the claim of a nonlinear correlation between the two variables.
B. There is sufficient evidence to support the claim of a nonlinear correlation between the two variables.
OC. There is insufficient evidence to support the claim of a linear correlation between the two variables.
O D. There is sufficient evidence to support the claim of a linear correlation between the two variables.
of

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