5. The table below presents the data of males whose age is between 25-35., While the first variable is the weights of them, the second variable is the measurements of systolic blood pressure. Find the correlation coefficient between these two variables and interpret the result. Observation 1 Weight 4 5 7 8 9 10 165 167 180 155 212 175 190 210 149 172 Blood 130 133 150 125 128 151 146 150 140 148 Pressure
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.
![5. The table below presents the data of males whose age is between 25-35. While the first variable
is the weights of them, the second variable is the measurements of systolic blood pressure. Find
the correlation coefficient between these two variables and interpret the result.
Observation 1
Weight
2
3
4
5
6
7
8
9
10
165
167
180
155
212
175
190
210
149
172
Blood
130
133
150
125
128
151
146
150
140
148
Pressure](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F0618d122-d5ba-48f9-b6ac-a6457fb8bafb%2Fbf003abb-43fa-406a-94cf-c5b0049f0420%2Flqnc6pw_processed.jpeg&w=3840&q=75)
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