Is there a significant correlation? Yes or NoN= 30 r=0.4. 1% level na = 0.05 a = 0.0140.9500.99950.8110.7540.8780.9590.9170.87580.7070.8349.0.6660.798100.6320.765110.6020.735120.5760.5530.708130.684140.5320.6610.5140.497150.641160.623170.4820.606180.4680.5900.575190.456200.4440.561250.3960.505300.3610.463350.3350.3120.430400.402450.2940.3780.361500.279600.2540.2360.3300.3050.28670800.220900.2070.2691000.1960.256

To test that whether there is significant correlation, we compare the calculated value of…

Answered: Is there a significant correlation? Yes…

Math

Statistics

Is there a significant correlation? Yes or No N= 30 r=0.4. 1% level

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

Correlation

Correlation defines a relationship between two independent variables. It tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

Linear Correlation

A correlation is used to determine the relationships between numerical and categorical variables. In other words, it is an indicator of how things are connected to one another. The correlation analysis is the study of how variables are related.

Regression Analysis

Regression analysis is a statistical method in which it estimates the relationship between a dependent variable and one or more independent variable. In simple terms dependent variable is called as outcome variable and independent variable is called as predictors. Regression analysis is one of the methods to find the trends in data. The independent variable used in Regression analysis is named Predictor variable. It offers data of an associated dependent variable regarding a particular outcome.

Question

Is there a significant correlation? Yes or No N= 30 r=0.4. 1% level

n
a = 0.05 a = 0.01
4
0.950
0.999
5
0.811
0.754
0.878
0.959
0.917
0.875
8
0.707
0.834
9.
0.666
0.798
10
0.632
0.765
11
0.602
0.735
12
0.576
0.553
0.708
13
0.684
14
0.532
0.661
0.514
0.497
15
0.641
16
0.623
17
0.482
0.606
18
0.468
0.590
0.575
19
0.456
20
0.444
0.561
25
0.396
0.505
30
0.361
0.463
35
0.335
0.312
0.430
40
0.402
45
0.294
0.378
0.361
50
0.279
60
0.254
0.236
0.330
0.305
0.286
70
80
0.220
90
0.207
0.269
100
0.196
0.256

Definition Definition Relationship between two independent variables. A correlation tells the degree to which variables move in relation to each other. When two sets of data are related to each other, there is a correlation between them.

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