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 -0.015. How confident can you be that your predicted value will be reasonably close to the actual value?
very helpful dumb&%$#@
To determine how confident you can be in the accuracy of your predicted value using a line of best fit, you need to consider the correlation coefficient. The correlation coefficient, usually denoted by r, measures the strength and direction of the linear relationship between two variables. It ranges between -1 and +1.
In your case, the correlation coefficient is -0.015. Since this value is close to zero, it suggests a very weak or negligible linear relationship between the variables. When the correlation coefficient is close to zero, it indicates that the line of best fit doesn't provide a good fit to the data points.
Therefore, with a correlation coefficient of -0.015, you cannot be confident that your predicted value will be reasonably close to the actual value. It is likely that the line of best fit may not accurately represent the relationship between the variables in the dataset.
It is important to note that in situations where the correlation coefficient is close to zero, the line of best fit may not provide reliable predictions. In such cases, alternative methods or models might be needed to make more accurate predictions.
panda u werent that helpful either
btw that question i searched it and it said that it would be no more than a random guess