of cups of any caffei beverage they ingest during the following day. The Pearson r-value result betwe the two variables is r = - .28. What can you conclude? There is a weak positive relationship between the number of hours a person sleeps at night and the amount of caffeinated beverage they ingest during the following day. There is a strong positive relationship between the number of hours a person sleeps at night and the amount of caffeinated beverage they ingest during the following day. There is a strong negative relationship between the number of hours a person sleeps at night and the amount of caffeinated beverage they ingest during the following day. Thoro nchin hetweon the nuumber of hours person
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.
Correlation is defined as the linear relationship between the two variables. The range of the correlation coefficient lies between -1 to 1, inclusive. For a perfect correlation, the value of coefficient correlation should be equal to 1 or -1. If the value of coefficient correlation is equal to -.28 it means that there is weak negative correlation between the variables, as value ia negative and more close to 0.
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