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TABLE 14-18 A Logistic Regression Model Was Estimated in Order to Predict

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TABLE 14-18
A logistic regression model was estimated in order to predict the probability that a randomly chosen university or college would be a private university using information on mean total Scholastic Aptitude Test score (SAT) at the university or college, the room and board expense measured in thousands of dollars (Room/Brd), and whether the TOEFL criterion is at least 550 (Toefl550 = 1 if yes, 0 otherwise.) The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise).
The Minitab output is given below: TABLE 14-18 A logistic regression model was estimated in order to predict the probability that a randomly chosen university or college would be a private university using information on mean total Scholastic Aptitude Test score (SAT) at the university or college, the room and board expense measured in thousands of dollars (Room/Brd), and whether the TOEFL criterion is at least 550 (Toefl550 = 1 if yes, 0 otherwise.) The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise). The Minitab output is given below:   -Referring to Table 14-18, what is the p-value of the test statistic when testing whether Toefl500 makes a significant contribution to the model in the presence of the other independent variables?
-Referring to Table 14-18, what is the p-value of the test statistic when testing whether Toefl500 makes a significant contribution to the model in the presence of the other independent variables?

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Definitions:

Universal Propositions

Claims or statements that assert something about every member of a particular category or class without exception.

Particular Propositions

Statements in logic that affirm or deny something about only some members of a class or category.

Non-categorical

Pertaining to expressions or statements that do not fit into the traditional categories of logic, or that do not assert a logical category.

Proposition

A statement expressing something that can be either true or false.

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