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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 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, X₁ = % Attendance, X₂= Salaries and X₃= Spending:
-Referring to Table 14-15, there is sufficient evidence that the percentage of students passing the proficiency test depends on at least one of the explanatory variables at a 5% level of significance.
Test Statistic
A calculated value used in statistical testing to determine whether to reject the null hypothesis.
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Vehicles that are propelled by electric motors and batteries, providing an alternative to traditional fossil fuel-powered cars.
Type II Error
The error that occurs when the null hypothesis is falsely accepted, meaning the failure to detect an effect that is present.
Null Hypothesis
A hypothesis that assumes no statistical significance exists in a set of given observations.
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