We estimate three regression models for the reading score in 5-th grade, READ5,

Question

We estimate three regression models for the reading score in 5-th grade, READ5, explained by the gender dummy variable, the race dummy variables, child age (unit: month), mother's age at birth (unit: years), and socio-economic status (unit: index). The Table below shows the estimation results with the standard error in parenthesis and the number of observations, R2, and adjusted R2 at the bottom of the table: Table 4: Dependent variable READ5 -4.770 (0.633) -2.260 (3.380) -4.380 (0.644) MALE AMERICAN INDIAN ASIAN HISPANIC, RACE NOT SPECIFIED 8.200 (2.200 7.620 (2.160) 8.110 (2.110) HISPANIC, RACE SPECIFIED MORE THAN ONE RACE PACIFIC ISLANDER WHITE AGE MAGE SES -4.810 (0.620) -2.340 (3.310) 19.900 (1.850 ) 16.800 (1.830 14.400 ( 0.200 (1.780) 13.000 (2.210) 12.000 (1.850) 18.100 (2.300) 9.060 (4.030) 18.600 (1.330) 10.300 (1.810) 15.400 ( 7.640 (3.940)8.080 (3.860) 15.300 (1.320) 13.900 (1.300) 0.518 (0.075) 0.916 (0.064) 2.260) 0.516 (0.074) 0.621 (0.066) 9.170 (0.608) 70.900 (5.430 125.000 (1.320) 68.200 (5.540 Observations 5,359 0.057 0.056 5,359 0.097 0.096 5,359 0.134 0.133 Adjusted R2

Explanation / Answer

17) ASIAN

If the race is ASIAN then the reading score is more by 14.4 for every 1 unit increase in race

AGE:

If child's age increases by 1 month, reading score increases by 0.516

SES:

If SES index increases by 1 unit, reading score increases by 9.17

18) if p value < 0.05 then the variabble is significant

df = 5359 - 2 = 5357

Male p value = .535

American indian = .0009

ASIAN = .071

HRNS =  .034

HRS = .075

More than one race = .0271

Pacific islander = .0001

White = .193

Age = .94

MAGE = 94738

SES = .54

So, significant are:

More than one race

Pacific islander

American indian

Hispanic race not specified

19) R^2 value is highest for = Model 3

So, it is the best here

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