Mathematics, 18.05.2021 22:00, patrickwilson

2. You find a line of fit for a set of data and calculate that the correlation coefficient for the model is -0.34. Which statement best describes the fit of the model to the data? A. The correlation coefficient suggests a strong positive correlation, so this model is a good fit for the data.

B. The correlation coefficient suggests a weak positive correlation, so this model is a not a good fit for the data.

C. The correlation coefficient suggests a weak negative correlation, so this model is a not a good fit for the data.

D. The correlation coefficient suggests a strong negative correlation, so this model is a good fit for the data.

Answers: 1

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2. You find a line of fit for a set of data and calculate that the correlation coefficient for the m...