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.
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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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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