The coefficient of determination, r squared, is a. a number that indicates how well data fits the statistical model b. a number that must be close to zero to be useful c. the same as the slope of the linear regression d. the same as the error term in a linear regression

The right option is a. a number that indicates how well data fits the statistical model

Step-by-step explanation:

The coefficient of determination is a number used to evaluate the proximity of the observed values and the values predicted by the statistical model. In other words, it explains how much of the variation is explained by the model. When this value is close to 1, it means that data fits well the statistical model. On the contrary, a coefficient of determination close to zero, indicates that the proposed statistical model is not good and must be discarded.  

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your answer   is c

step-by-step explanation: