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 Noth Multiple R Rt Square Standard Error Observations 0142620229 0.02034053 20.25979924 22 Standard Error 37 24347659 Intercept Attendance 0.52852452 Which of the following statements is true? Coefficients 39.39027309 0.340583573 T Stat 1.057642216 b.644404489 Pevalue 0,302826622 0.526615689 If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points OIf attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point. Of attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points O If the score received increases by 39.39%, the estimated mean attendance will go up by 1%

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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 Notic
Multiple R
R Square
Standard Error
Observations
Intercept
Attendance
0.142620229
0.02034053
20.25979924
Coefficients
Standard Error
T Shat
1.057642216
0.340583573 0.52852452 b.644404489
39.39027309
37.24347659
Which of the following statements is true?
Prealue
0,302826622
0.526635689
If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points.
If attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point.
If attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points
O if the score received increases by 39.39%, the estimated mean attendance will go up by 1%
Transcribed Image Text: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 Notic Multiple R R Square Standard Error Observations Intercept Attendance 0.142620229 0.02034053 20.25979924 Coefficients Standard Error T Shat 1.057642216 0.340583573 0.52852452 b.644404489 39.39027309 37.24347659 Which of the following statements is true? Prealue 0,302826622 0.526635689 If attendance increases by 1%, the estimated mean score received will increase by 0.341 percentage points. If attendance increases by 0.341%, the estimated mean score received will increase by 1 percentage point. If attendance increases by 1%, the estimated mean score received will increase by 39.39 percentage points O if the score received increases by 39.39%, the estimated mean attendance will go up by 1%
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