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Simple linear regression multiple choice question

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The following Excel tables are obtained when "Score received on an exam (measured in percentage points)" (Y) is regressed on "percentage attendance" (X) for 22 students in a Statistics for Business and Economics course.

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Regression Statistics
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Multiple R 0.142620229
R Square 0.02034053
Adjusted R -0.028642444
Square
Standard 20.25979924
Error
Observations 22
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Coefficients Standard tStat p-value
Error
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Intercept 39.39027309 37.24347659 1.057642216 0.302826622
Attendance 0.340583573 0.52852452 0.644404489 0.526635689
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Referring to the table, which of the following statements is true?

a. -2.86% of the total variability in score received can be explained by percentage attendance.

b. -2.86% of the total variability in percentage attendance can be explained by score received.

c. 2% of the total variability in score received can be explained by percentage attendance.

d. 2% of the total variability in percentage attendance can be explained by score received.

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c. 2% of the total variability in score received can be explained by percentage ...

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