TABLE 14-15 the Superintendent of a School District Wanted to Predict the Predict

question 44

Short Answer

TABLE 14-15
The superintendent of a school district wanted to predict the percentage of students passing a sixth-grade proficiency test. She obtained the data on percentage of students passing the proficiency test (% Passing), daily average of the percentage of students attending class (% Attendance), average teacher salary in dollars (Salaries), and instructional spending per pupil in dollars (Spending) of 47 schools in the state.
Following is the multiple regression output with Y = % Passing as the dependent variable, X₁= % Attendance, X₂= Salaries and X₃= Spending:
Note:

-Referring to Table 14-15, predict the percentage of students passing the proficiency test for a school which has a daily average of 95% of students attending class, an average teacher salary of 40,000 dollars, and an instructional spending per pupil of 2000 dollars.

---

Definitions:

Test Statistic

A value derived from sample data used in hypothesis testing to determine whether to reject the null hypothesis.

Null Hypothesis

A statistical hypothesis that assumes no significant difference or effect exists between specified populations or parameters.

Alternative Hypothesis

A hypothesis that contradicts the null hypothesis by stating there is a statistically significant effect or relationship between variables.

Null Hypothesis

A default hypothesis that there is no significant difference or effect, used as a starting point for statistical hypothesis testing.