Baldness and heart disease Medical research-ers followed 1435 middle-aged men for a period of 5 years, measuring the amount of Baldness pres-ent (none = 1, little = 2, some = 3, much = 4, extreme = 5) and presence of Heart Disease(No = 0, Yes = 1). They found a correlation of 0.089between the two variables. Comment on their conclusionthat this shows that baldness is not a possible cause ofheart disease.
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.
ers followed 1435 middle-aged men for a period of
ent (none = 1, little = 2, some = 3, much = 4,
(No = 0, Yes = 1). They found a
between the two variables. Comment on their conclusion
that this shows that baldness is not a possible cause of
heart disease.
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