Based on your understanding of the data, describe at least five possible associations among different pairs of variables. For example, you can pick one pair of variables Teachexp and Passall and discuss whether they are associated with each other. For each possible association relationship explain:

1. Whether the association is positive, negative, or no association. Provide reasons.
2. The possible strength of the association. Provide reasons.
3. Whether the association would be significant or not. Provide reasons.

In this discussion, you only need to provide your reasons. No need to use Stata to do analysis for associations.

The EDUCATION dataset contains data from 1044 public school districts in Texas.The dataset includes variables related to student performance, district finances, and teacher and staff characteristics.This dataset is especially useful for illustrating how difference of means tests and regression analysis are performed using statistical software packages.

Here are the description of the variables

Distid=district identification number

Totskol =total number of schools in district

Totstud =total number of students in district

Pafr=percentage of students who are African American

Phisp =percentage of students who are Hispanic

Pecd =percentage of students who are economically disadvantaged (defined as eligible for free or reduced price meal programs)

Passall =percentage of students passing state mandated academic skills tests

Afrpass =percentage of African-American students passing state mandated academic skills tests

Hispass =percentage of Hispanic students passing state mandated academic skills tests

Whitpass=percentage of white students passing state mandated academic skills tests

Econdpas =percentage of economically-disadvantaged students passing state mandated academic skills tests

Pteacher =percentage of total staff who are teachers

Salteach =average teacher salary

Class =average number of students per class

Teachexp =average teacher experience in years

Teturn=average teacher turnover

Propval =total assessed property value in dollars

Stateaid =state aid per pupil

Totrev =total revenue from all sources

Revpup =total revenue per pupil

Revpstat =percent of revenue from state

Revplocr =percent of revenue from local sources

Revpfed =percent of revenue from federal government

Attend =average attendance

Satscor =average SAT score

charter=charter dummy (1 = district located in county with at least 1 charter school, 0 if not)