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TABLE 13-15
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 mean of the percentage of students attending class (% Attendance), mean 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, = : % Attendance,
= Salaries and
= Spending:
-Referring to Table 13-15, the null hypothesis H₀: β₁ = β₂ = β₃ = 0 implies that percentage of students passing the proficiency test is not related to any of the explanatory variables.
Hypothesis
A proposed explanation made on the basis of limited evidence as a starting point for further investigation.
Evidence
Information or facts that are used to support the validity of a statement or argument.
Interpretation
An expression of the meaning or significance of a wide variety of experiences, situations, data, events, judgments, conventions, beliefs, rules, procedures, or criteria.
Inference
Identifies and secures elements needed to draw reasonable conclusions; it forms conjectures and hypotheses, it considers relevant information, and it reduces or draws out the consequences flowing from data, statements, principles, evidence, judgments, beliefs, opinions, concepts, descriptions, questions, or other forms of representation.
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