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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?


Definitions:

Desirable Feature

A trait or characteristic of a product, person, or concept that is attractive and makes it preferable.

P Value

A statistical measure that indicates the probability of obtaining the observed results of a study by chance alone, often used to test hypotheses.

Correlational Study

A research method that examines the relationship between two or more variables to determine whether and how they change together.

Standard Deviation

An indicator of how much the values in a set differ or spread out.

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