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.
Definitions:
Q22: Referring to Table 17-4,suppose the supervisor constructs
Q31: Variation signaled by individual fluctuations or patterns
Q54: Referring to Table 15-6,what is the value
Q72: Referring to Table 14-7,the department head decided
Q151: Referring to Table 16-13,you can reject the
Q182: Referring to Table 14-2,an employee who took
Q206: Referring to Table 14-10,to test the significance
Q245: Referring to Table 14-8,the net regression coefficient
Q299: Referring to 14-16,the 0 to 60 miles
Q346: Referring to Table 14-4,which of the following