Use Table 10 of AppendixB to determine a 95% confidence interval for the true population linear correlation coefficient based on the following sample statistics. (Glve youranswers correct to two decimal places.)(a) n = 8, r= 0.20-.22X to 1.02(b) n = 100, r = -0.40-.55to -.22(c) n = 25, r = 0.65X to .87(d) n = 15, r = -0.25-.62x to Table 10 Confidence Belts for the Correlation Coefficient (1-a)=0.95The numbers on the curves are sample sizes.+1.0+0.8+0.6+0.48 925 83 品+0.2100200400400200100-0.2-0.4-0.6-0.8-1.0-1.0-0.8-0.6-0.4-0.2+0.2+0.4Scale of r (sample correlation)+0.6+0.8+1.0Scale of p (population correlation coefficient)

Use Table 10 of Appendix B to determine a 95% confidence interval for the true population linear correlation coefficient based on the following sample statistics. (Glve your answers correct to two decimal places.) (a) n = 8, r = 0.20 -.22 X to 1.02 (b) n = 100, r = -0.40 -.55 to -.22 (c) n = 25, r = 0.65 x to .87 (d) n = 15, r = -0.25 -.62 x to

Use Table 10 of Appendix B to determine a 95% confidence interval for the true population linear correlation coefficient based on the following sample statistics. (Glve your answers correct to two decimal places.) (a) n = 8, r = 0.20 -.22 X to 1.02 (b) n = 100, r = -0.40 -.55 to -.22 (c) n = 25, r = 0.65 x to .87 (d) n = 15, r = -0.25 -.62 x to

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

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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

Use Table 10 of AppendixB to determine a 95% confidence interval for the true population linear correlation coefficient based on the following sample statistics. (Glve your
answers correct to two decimal places.)
(a) n = 8, r= 0.20
-.22
X to 1.02
(b) n = 100, r = -0.40
-.55
to -.22
(c) n = 25, r = 0.65
X to .87
(d) n = 15, r = -0.25
-.62
x to

Table 10 Confidence Belts for the Correlation Coefficient (1-a)=0.95
The numbers on the curves are sample sizes.
+1.0
+0.8
+0.6
+0.4
8 925 83 品
+0.2
100
200
400
400
200
100
-0.2
-0.4
-0.6
-0.8
-1.0
-1.0
-0.8
-0.6
-0.4
-0.2
+0.2
+0.4
Scale of r (sample correlation)
+0.6
+0.8
+1.0
Scale of p (population correlation coefficient)

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