A correlation coefficient of -0.833 indicates a strong negative relationship between the variables in your data set. This means that as one variable increases, the other variable decreases.
In this case, using a line of best fit to make a prediction about an unknown value may not be very reliable. This is because the data points are widely spread out and do not follow a clear linear pattern. The strength of the negative correlation suggests that the data points deviate significantly from the best fit line.
Therefore, it is not advisable to have confidence in the predicted value being reasonably close to the actual value in this scenario. It would be better to use other methods of analysis or collect more data to improve the accuracy of your prediction.
Note: Your teacher will grade your responses to the follow questions to ensure you receive proper credit for your answers.
You use a line of best fit for a set of data to make a prediction about an unknown value. The correlation coefficient for your data set is Negative 0 point 833. Can you be confident that your predicted value will be reasonably close to the actual value? Why or why not?
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