Respuesta :
No. The presence of a linear correlation between two variables does not imply that one of the variables is the cause of the other variable.
Take into account the fact that the amount of carbon dioxide in the atmosphere and the earth's temperature are linear correlation. No, it does show that variations in the amount of carbon dioxide affect the world's temperature. The choice (B) is accurate when the idea of a linear correlation coefficient is used. Since the global temperature is not affected or caused by a change in one of the variables, the concentration of carbon dioxide in our atmosphere, neither affects nor causes the other variable. A numerical indicator of the strength of link between two or more variables is the coefficient of correlation. The statistical measure of the degree to which changes in the value of one variable predict changes in the value of another is called a correlation coefficient. A correlation cannot reveal the type of relationship; it can only reveal its presence or absence.
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