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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 SAT 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 SAT makes a significant contribution to the model in the presence of the other independent variables?


Definitions:

Interval Estimate

An array of values extracted from sampling efforts, which is supposed to enclose the value of an unidentified population parameter.

Population Parameter

A numerical value that summarizes or describes an aspect of a population, such as the mean or variance.

Sampling Procedure

The method or process used to select a sample from a population for statistical analysis.

Confidence Interval

A grouping of values from sample statistics, thought to potentially envelop the value of an unknown population feature.

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