Consider the following model to explain the percentage of students receiving a passing score on a math test (math4) at Michigan schools math4 = B₁ + B₁ log(expend) + 3₂ log(enroll) + 3zlunch + u (1)

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4. Consider the following model to explain the percentage of students receiving
a passing score on a math test (math4) at Michigan schools
math4 =B₁ + B₁ log(expend) + ß₂log(enroll) + Bzlunch + u (1)
2
where expend is total school expenditure, enroll is the number of students
at the school and lunch is the percentage of students who are eligible for the
school free lunch program. Using a sample of 1823 schools we have found
the following results:
math4
46.19+8.53 log(expend) - 13.37 log(enroll) - 0.471lunch
(1.80)
(0.014)
(17.91)
(1.84)
n
= 1823, R² = 0.380
(a) Interpret the estimated coefficient on log(expend). Why do you think
that the estimated coefficient on lunch is negative?
(b) Test the overall significance of the regression.
(c) Next year, the number of students is expected to increase by 1%. An
economist states that if the total school expenditure also increases by
1%, the 1% increase in the number of students will have no effect on the
percentage of students who pass the exam. Write down the null and
the alternative hypotheses to test the economist's statement. What
would be the restricted model after imposing the null hypothesis?
Transcribed Image Text:4. Consider the following model to explain the percentage of students receiving a passing score on a math test (math4) at Michigan schools math4 =B₁ + B₁ log(expend) + ß₂log(enroll) + Bzlunch + u (1) 2 where expend is total school expenditure, enroll is the number of students at the school and lunch is the percentage of students who are eligible for the school free lunch program. Using a sample of 1823 schools we have found the following results: math4 46.19+8.53 log(expend) - 13.37 log(enroll) - 0.471lunch (1.80) (0.014) (17.91) (1.84) n = 1823, R² = 0.380 (a) Interpret the estimated coefficient on log(expend). Why do you think that the estimated coefficient on lunch is negative? (b) Test the overall significance of the regression. (c) Next year, the number of students is expected to increase by 1%. An economist states that if the total school expenditure also increases by 1%, the 1% increase in the number of students will have no effect on the percentage of students who pass the exam. Write down the null and the alternative hypotheses to test the economist's statement. What would be the restricted model after imposing the null hypothesis?
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