Dependent Variable Is Smark

Questions:

1. Briefly describe main features of data:

2. a)

Dependent Variable is SMARK

303 observations (1-303) used for estimation.

Estimation Method: Ordinary Least Squares

Estimate Std. Err. t Ratio p-Value

Intercept 52.91 2.77619 19.058 0

ATTL 0.14613 0.03254 4.491 0

Sum of Squares = 47530.6

R-Squared = 0.0628

R-Bar-Squared = 0.0597

Residual SD = 12.5662

Covariance matrix from standard formula.

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The estimate for β0 and β1 are 52.91 and 0.14613 respectively. The sample size is 303 and R-square is 0.0628. The intercept corresponds to the percentage of mark in Statistic and Econometrics exam for students that have proportion of lecture attended of zero and its estimate is 52.91. The coefficient of ATTL is 0.14613 which means that if students' proportion of lecture attended increase by 1 percent, the marks of Statistic and Econometrics exam will increase by 0.14613 percent. As R-square is 0.0628 only 6.28% of the variation of mark in Statistic and Econometrics exam is explained by ATTL.

b)

Dependent Variable is SMARK

303 observations (1-303) used for estimation.

Estimation Method: Ordinary Least Squares

Estimate Std. Err. t Ratio p-Value

Intercept 40.0947 3.27431 12.245 0

ABILITY 0.48439 0.07595 6.378 0

ATTL 0.13467 0.03095 4.351 0

HRSS 0.41684 0.19413 2.147 0.033

Sum of Squares = 41683.1

R-Squared = 0.1781

R-Bar-Squared = 0.1699

Residual SD = 11.8071

Covariance matrix from standard formula.