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)

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