In studying the relationship between income and time spent exercising, suppose you computed r=−0.052 using n=19 data points. Using the critical values table below, determine if the value of r is significant or not.dfCV (+ and -)dfCV (+ and -)dfCV (+ and -)dfCV (+ and -)10.997110.555210.413400.30420.950120.532220.404500.27330.878130.514230.396600.25040.811140.497240.388700.23250.754150.482250.381800.21760.707160.468260.374900.20570.666170.456270.3671000.19580.632180.444280.361 90.602190.433290.355 100.576200.423300.349 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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Description: In studying the relationship between income and time spent exercising, suppose you computed r=−0.052 using n=19 data points. Using the critical values table below, determine if the value of r is significant or not.dfCV (+ and -)dfCV (+ and -)dfCV (+

The degrees of freedom is n–2=19–2=17.Rejection rule:If r is not lies between positive negative…

Answered: In studying the relationship between…

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In studying the relationship between income and time spent exercising, suppose you computed r=−0.052 using n=19 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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