The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a=0.01. Hours, x 01 41 2 4 53 48 Test score, y 43 Click here to view a table of critical values for Student's t-distribution. Setup the hypothesis for the test. Ho:P YO H:P YO 4 60 Calculate the test statistic. t=(Round to three decimal places as needed.) What is your conclusion? There 5 66 5 72 6 82 7 80 Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) OA. The critical values are -to= and to= OB. The critical value is 80 95 * enough evidence at the 1% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.

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The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation
between the data? Use a=0.01.
Hours, x
Test score, y
Click here to view a table of critical values for Student's t-distribution.
0
43
1
2 4 4 5 5
41 53 48 60 66 72
Setup the hypothesis for the test.
Ho: P
0
HP YO
Calculate the test statistic.
There
Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice.
(Round to three decimal places as needed.)
OA. The critical values are -to = and to =
OB. The critical value is
t= (Round to three decimal places as needed.)
What is your conclusion?
6
82
7 8
80 95
enough evidence at the 1% level of significance to conclude that there
a significant linear correlation between hours spent studying and test score.
Transcribed Image Text:The number of hours 10 students spent studying for a test and their scores on that test are shown in the table. Is there enough evidence to conclude that there is a significant linear correlation between the data? Use a=0.01. Hours, x Test score, y Click here to view a table of critical values for Student's t-distribution. 0 43 1 2 4 4 5 5 41 53 48 60 66 72 Setup the hypothesis for the test. Ho: P 0 HP YO Calculate the test statistic. There Identify the critical value(s). Select the correct choice below and fill in any answer boxes within your choice. (Round to three decimal places as needed.) OA. The critical values are -to = and to = OB. The critical value is t= (Round to three decimal places as needed.) What is your conclusion? 6 82 7 8 80 95 enough evidence at the 1% level of significance to conclude that there a significant linear correlation between hours spent studying and test score.
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