BUSINESS ADMINISTRATION
RESEARCH METHODOLOGY
Question
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R represents correlation and R2 represents probability


R represents variance and R2 represents correlation


R represents correlation and R2 represents variance


R represents probability and R2 represents variance

Detailed explanation1: Whereas correlation explains the strength of the relationship between an independent and dependent variable, Rsquared explains to what extent the variance of one variable explains the variance of the second variable.
Detailed explanation2: The Pearson correlation coefficient (r) is used to identify patterns in things whereas the coefficient of determination (R²) is used to identify the strength of a model.
Detailed explanation3: The Rsquared value, denoted by R 2, is the square of the correlation. It measures the proportion of variation in the dependent variable that can be attributed to the independent variable. The Rsquared value R 2 is always between 0 and 1 inclusive.
Detailed explanation4: The R2 tells us the percentage of variance in the outcome that is explained by the predictor variables (i.e., the information we do know). A perfect R2 of 1.00 means that our predictor variables explain 100% of the variance in the outcome we are trying to predict.
Detailed explanation5: The coefficient of determination is often written as R2, which is pronounced as “r squared.” For simple linear regressions, a lowercase r is usually used instead (r2).