(a) Look at the data below regarding the variables x = age of a Shetland pony and y weight of that pony. Is the value of Ir| large enough to conclude that weight and age Shetland ponies are correlated? Use a = 0.05. (Use 3 decimal places.) 3 12 25 25 60 95 140 174 180 critical r Conclusion Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of Ir| lan %3D enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a 0.01. (Use 3 decimal places.) 1004 975 992 935 980 928 40 100 65 145 68 152 r critical r Conclusion Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
(a) Look at the data below regarding the variables x = age of a Shetland pony and y weight of that pony. Is the value of Ir| large enough to conclude that weight and age Shetland ponies are correlated? Use a = 0.05. (Use 3 decimal places.) 3 12 25 25 60 95 140 174 180 critical r Conclusion Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated. (b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of Ir| lan %3D enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a 0.01. (Use 3 decimal places.) 1004 975 992 935 980 928 40 100 65 145 68 152 r critical r Conclusion Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated. Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
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
Transcribed Image Text:(a) Look at the data below regarding the variables x =
age of a Shetland pony and y
weight of that pony. Is the value of Ir| large enough to conclude that weight and age
Shetland ponies are correlated? Use a =
0.05. (Use 3 decimal places.)
3
12
25
25
60
95
140
174
180
critical r
Conclusion
Reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated.
Reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated.
Fail to reject the null hypothesis, there is insufficient evidence to show that age and weight of Shetland ponies are correlated.
Fail to reject the null hypothesis, there is sufficient evidence to show that age and weight of Shetland ponies are correlated.
(b) Look at the data below regarding the variables x = lowest barometric pressure as a cyclone approaches and y = maximum wind speed of the cyclone. Is the value of Ir| lan
%3D
enough to conclude that lowest barometric pressure and wind speed of a cyclone are correlated? Use a
0.01. (Use 3 decimal places.)
1004
975
992
935
980
928
40
100
65
145
68
152
r
critical r
Conclusion
Reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
Reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
Fail to reject the null hypothesis, there is insufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
Fail to reject the null hypothesis, there is sufficient evidence to show that lowest barometric pressure and maximum wind speed for cyclones are correlated.
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