Professor Pass Anyone, a statistics instructor, wants to determine if there is a positive linear correlatio tudy hours and final exam score for the students still left in his classes at the end of the semester. He randomly selected ten students from all his statistics classes and determined their number of stuc mours per week and their final exam grade. The sample results were: inal Exam: 96 82 86 89 91 92 85 80 92 85 (EX=878 EX² = 77316) tudy Hours: 21 14 13 19 13 19 14 10 17 16 (EX=156 [X² =2538) tate the Independent variable(IV), the dependent variable (DV), and the sample correlation coefficie a. DV = Study Hours; IV = Final Grade; r = 0.78 Ob. DV= Final Grade; IV = Study Hours; r = 0.78 Oc. None of these d. DV= Final Grade: IV = Study Hours: r 0.79

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Professor Pass Anyone, a statistics instructor, wants to determine if there is a positive linear correlation between study hours and final exam scores for the students still in his classes at the end of the semester. He randomly selected ten students from all his statistics classes and determined their number of study hours per week and their final exam grade. The sample results were:

Final Exam Scores: 96, 82, 86, 89, 91, 92, 85, 80, 92, 85 (ΣX = 878, ΣX² = 77316)

Study Hours: 21, 14, 13, 19, 13, 19, 14, 10, 17, 16 (ΣX = 156, ΣX² = 2538)

State the Independent variable (IV), the dependent variable (DV), and the sample correlation coefficient (r):

a. DV = Study Hours; IV = Final Grade; r = 0.78

b. DV = Final Grade; IV = Study Hours; r = 0.78

c. None of these

d. DV = Final Grade; IV = Study Hours; r = 0.79

e. DV = Study Hours; IV = Final Grade; r = 0.79
Transcribed Image Text:Professor Pass Anyone, a statistics instructor, wants to determine if there is a positive linear correlation between study hours and final exam scores for the students still in his classes at the end of the semester. He randomly selected ten students from all his statistics classes and determined their number of study hours per week and their final exam grade. The sample results were: Final Exam Scores: 96, 82, 86, 89, 91, 92, 85, 80, 92, 85 (ΣX = 878, ΣX² = 77316) Study Hours: 21, 14, 13, 19, 13, 19, 14, 10, 17, 16 (ΣX = 156, ΣX² = 2538) State the Independent variable (IV), the dependent variable (DV), and the sample correlation coefficient (r): a. DV = Study Hours; IV = Final Grade; r = 0.78 b. DV = Final Grade; IV = Study Hours; r = 0.78 c. None of these d. DV = Final Grade; IV = Study Hours; r = 0.79 e. DV = Study Hours; IV = Final Grade; r = 0.79
Expert Solution
Step 1

Determine the dependent and independent variables.

 

 The dependent and independent variables are determined below as follows:

 

From the information, given that the test is to determine whether there is a positive linear correlation between the study hours and final exam score for the students.

 

That is, it is clear that the result of the final exam grade for the students is always obtained by basing upon the quality time taken by the students for the final exam according to their ability.

 

Therefore,

 

The dependent variable is Final grade.

The independent variable is Study hours.

 

 

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