Twenty different statistics students are randomly selected. For each of them, their body temperature (C) is measured and thei
r head circumference (cm) is measured. If it is found that r0, does that indicate that there is no association between these two variables? Choose the correct answer below. A. No, because if r0, the variables are in a perfect linear relationship. B. No, because while there is no linear correlation, there may be a relationship that is not linear. C. No, because r does not measure the strength of the relationship, only its direction. D. Yes, because if r0, the variables are completely unrelated.
B. No, because while there is no linear correlation, there may be a relationship that is not linear.
Step-by-step explanation:
Relationships between variables are diverse and fitted model of a dataset for each of the models will usually differ. That is the lebl of association between variables for a linear model may differ and better than a quadratic model or an exponential may perform. For r = 0 ; this means no relationship exists between the variables, however , this is the information for the linear model, which clearly depicts that no assicitio exist for the linear fit. A model change could result in a differ and slightly or highly correlated R value.
