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

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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 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:
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, X<sub>1</sub>= % Attendance, X<sub>2</sub>= Salaries and X<sub>3</sub>= Spending:    Note:    -Referring to Table 14-15, the alternative hypothesis H<sub>1</sub> : At least one of β<sub>j</sub> ≠ 0 for j = 1, 2, 3 implies that percentage of students passing the proficiency test is related to all of the explanatory variables. Note:
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, X<sub>1</sub>= % Attendance, X<sub>2</sub>= Salaries and X<sub>3</sub>= Spending:    Note:    -Referring to Table 14-15, the alternative hypothesis H<sub>1</sub> : At least one of β<sub>j</sub> ≠ 0 for j = 1, 2, 3 implies that percentage of students passing the proficiency test is related to all of the explanatory variables.
-Referring to Table 14-15, the alternative hypothesis H1 : At least one of βj ≠ 0 for j = 1, 2, 3 implies that percentage of students passing the proficiency test is related to all of the explanatory variables.


Definitions:

Antidiuretic Hormone

A hormone released by the pituitary gland that helps regulate the balance of water in the body by reducing the amount of water excreted by the kidneys.

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Vital organs located in the back of the abdomen that filter blood to produce urine, regulate electrolytes, maintain acid-base balance, and regulate blood pressure.

Follicle-Stimulating Hormone

A substance produced by the front part of the pituitary gland which prompts the development of ovarian follicles in women and the generation of sperm in men.

Lymphatic System

Part of the immune system, comprising a network of lymphatic vessels that carry a clear fluid called lymph towards the heart, involved in removing waste and fighting infections.

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