You use a line of best fit for 5 different sets of data to make a prediction about an unknown value. The correlation coefficient for your data sets are shown. How confident can you be that your predicted value will be reasonably close to the actual value? Match the correlation coefficient to the correct interpretation of the value.(5 points) Put responses in the correct input to answer the question. Select a response, navigate to the desired input and insert the response. Responses can be selected and inserted using the space bar, enter key, left mouse button or touchpad. Responses can also be moved by dragging with a mouse. r=−0.792 r=−12 r=0 r=−0.287 r=1 Skip to navigation
r=−0.792 - There is a strong negative linear relationship between the variables, so you can have moderate confidence in your predicted value being reasonably close to the actual value.
r=−12 - This correlation coefficient is not valid as it is outside the possible range of -1 to 1.
r=0 - There is no linear relationship between the variables, so you cannot rely on the line of best fit to make accurate predictions.
r=−0.287 - There is a weak negative linear relationship between the variables, so you should have low confidence in your predicted value being reasonably close to the actual value.
r=1 - There is a perfect positive linear relationship between the variables, so you can have high confidence in your predicted value being reasonably close to the actual value.