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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.

    --------------------------------
    Regression Statistics
    --------------------------------
    Multiple R 0.142620229
    R Square 0.02034053
    Adjusted R -0.028642444
    Square
    Standard 20.25979924
    Error
    Observations 22
    --------------------------------
    --------------------------------------------------------------------------
    Coefficients Standard tStat p-value
    Error
    --------------------------------------------------------------------------
    Intercept 39.39027309 37.24347659 1.057642216 0.302826622
    Attendance 0.340583573 0.52852452 0.644404489 0.526635689
    --------------------------------------------------------------------------

    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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    https://brainmass.com/statistics/regression-analysis/simple-linear-regression-multiple-choice-question-214208

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    The correct answer is

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

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