When n = 100 and r = -0.89, is there a significant correlation? Explain. The 95% Critical Values of the Sample Correlation Coefficient Table can be used to give you a good idea of whether the computed value of r is significant or not. Compare r to the appropriate critical value in the table. If r is not between the positive and negative critical values, then the correlation coefficient is significant. If r is significant, then you may want to use the line for prediction. 95% Critical Values of the Sample Correlation Coefficient Table Degrees of Freedom: n - 2 Critical Values: (+ and -) 1 0.997 2 0.950 3 0.878 4 0.811 5 0.754 6 0.707 7 0.666 8 0.632 9 0.602 10 0.576 11 0.555 12 0.532 13 0.514 14 0.497 15 0.482 16 0.468 17 0.456 18 0.444 19 0.433 20 0.423 21 0.413 22 0.404 23 0.396 24 0.388 25 0.381 26 0.374 27 0.367 28 0.361 29 0.355 30 0.349 40 0.304 50 0.273 60 0.250 70 0.232 80 0.217 90 0.205 100 0.195 Table 12.8 Group of answer choices There is no correlation between the data sets due to the negative number Yes, there are enough data points, and the value of r is strong enough to show that there is a strong positive correlation between the data sets Yes, there are enough data points, and the value of r is strong enough to show that there is a strong negative correlation between the data sets