In studying the relationship between age and time spent exercising, suppose you computed r=−0.307 using n=20 data points. Using the critical values table below, determine if the value of r is significant or not. df CV (+ and -) df CV (+ and -) df CV (+ and -) df CV (+ and -) 1 0.997 11 0.555 21 0.413 40 0.304 2 0.950 12 0.532 22 0.404 50 0.273 3 0.878 13 0.514 23 0.396 60 0.250 4 0.811 14 0.497 24 0.388 70 0.232 5 0.754 15 0.482 25 0.381 80 0.217 6 0.707 16 0.468 26 0.374 90 0.205 7 0.666 17 0.456 27 0.367 100 0.195 8 0.632 18 0.444 28 0.361     9 0.602 19 0.433 29 0.355     10 0.576 20 0.423 30 0.349     Select the correct answer below:   1) r is significant because it is between the positive and negative critical values.   2) r is not significant because it is between the positive and negative critical values.   3) r is significant because it is not between the positive and negative critical values.   4) r is not significant because it is not between the positive and negative critical values.

Question
In studying the relationship between age and time spent exercising, suppose you computed r=−0.307 using n=20 data points. Using the critical values table below, determine if the value of r is significant or not.
df CV (+ and -) df CV (+ and -) df CV (+ and -) df CV (+ and -)
1 0.997 11 0.555 21 0.413 40 0.304
2 0.950 12 0.532 22 0.404 50 0.273
3 0.878 13 0.514 23 0.396 60 0.250
4 0.811 14 0.497 24 0.388 70 0.232
5 0.754 15 0.482 25 0.381 80 0.217
6 0.707 16 0.468 26 0.374 90 0.205
7 0.666 17 0.456 27 0.367 100 0.195
8 0.632 18 0.444 28 0.361    
9 0.602 19 0.433 29 0.355    
10 0.576 20 0.423 30 0.349    

Select the correct answer below:

 
1) r is significant because it is between the positive and negative critical values.
 
2) r is not significant because it is between the positive and negative critical values.
 
3) r is significant because it is not between the positive and negative critical values.
 
4) r is not significant because it is not between the positive and negative critical values.

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