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Please make note of the following:
1) Submit the word document with your answers pasted here.
2) Upload the output file with a .spv extension.
3) Please add comments on what regression is being run. For example: Regression #1 in table.
Variable description:
observation_number
Observation Number
dist_cod
District Code
county
County
district
District
gr_span
Grade span of district
enrl_tot
Total enrollment
teachers
Number of Teachers
calw_pct
Percentage of students in the public assistance
program, CalWorks
meal_pct
Percentage of students that qualify for a
reduced-price lunch
computer
Number of computers
testscr
Average Test scores (read_scr+math_scr)/2
comp_stu
Computer per student
expn_stu
Expenditure per student
str
Student-Teacher Ratio
avginc
Average district income
el_pct
Percentage of students that are English Learners
read_scr
Average reading score
math_scr
Average math score
Before starting, ensure you have 420 observations. Do not delete any observations.
The dependent variable for all regressions is testscr. In the Economic Control variables table, Y indicates it was included and N indicates that the variable was not included while running the regression. The numbers reported in the top portion of the table are parameter estimates, while those in brackets are the standard errors.
Questions:
1. Replicate the regressions in the table on the next page. Report the SER and R-square as well. Please arrange your results in the same format. (7 regression x 1=7 points)
2. For Model 6, run and interpret the hypothesis tests in the lower portion of the table. (3 tests x 1 point = 3 points)