Question 17 In soccer, it seems reasonable to assume that the more shots a team takes, the more goals they will score. A random sample of 23 soccer matches found that the linear correlation coefficient between shots taken and goals scored was 0.33. Does this result suggest that the correlation is statistically significant? Use a = 0.10. 1. Select the correct statement: O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes in y O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:r < 0; Ha:r > 0 Ο Ho:ρ Σ 0; Ha:p< 0 O Ho:r = 0; Ha:r+0 O Ho:p = 0; Ha:p# 0 O Ho:r 2 0; Ha:r <0 O Ho:p s 0; Ha:p> 0 %3D or %3D 2. This is a O leftO twoO right tailed test and the distribution used is Oz OT The Degrees of Freedom are ON/A; this is a Z-test 23 21 O22 MacBook Air

Question 17 In soccer, it seems reasonable to assume that the more shots a team takes, the more goals they will score. A random sample of 23 soccer matches found that the linear correlation coefficient between shots taken and goals scored was 0.33. Does this result suggest that the correlation is statistically significant? Use a = 0.10. 1. Select the correct statement: O Even if the correlation is found to be statistically significant, that does not necessarily mean that changes in x cause changes in y O If the correlation is found to be statistically significant, that means that changes in x cause changes in y The hypotheses are: O Ho:r < 0; Ha:r > 0 Ο Ho:ρ Σ 0; Ha:p< 0 O Ho:r = 0; Ha:r+0 O Ho:p = 0; Ha:p# 0 O Ho:r 2 0; Ha:r <0 O Ho:p s 0; Ha:p> 0 %3D or %3D 2. This is a O leftO twoO right tailed test and the distribution used is Oz OT The Degrees of Freedom are ON/A; this is a Z-test 23 21 O22 MacBook Air

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

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3. The STS (round to 3 decimals) is:
The P-value (round to 4 decimals) is:
4. The decision at a = 0.10 is:
O Do not reject Ho since P < a
O Reject Ho since P> a
Reject Ho since P< a
O Do not reject Ho since P > a
The conclusion is:
O There is insufficient evidence to conclude that there is not a statistically significant linear
correlation
O There is sufficient evidence to conclude that there is a statistically significant linear correlation
O There is insufficient evidence to conclude that there is a statistically significant linear correlation
O There is sufficient evidence to conclude that there is not a statistically significant linear correlation
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