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TABLE 14-11
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 average 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:
Logistic Regression Table
Log-Likelihood = -21.883
Test that all slopes are zero: G = 62.083, DF = 3, P-Value = 0.000
Goodness-of-Fit Tests
-Referring to Table 14-11, what should be the decision ('reject' or 'do not reject') on the null hypothesis when testing whether Toefl500 makes a significant contribution to the model in the presence of the other independent variables at a 0.05 level of significance?
Q7: Referring to Table 13-10, what is the
Q27: Referring to Table 12-11, if the null
Q30: Referring to Table 12-13, what is the
Q36: Referring to Table 13-9, the degrees
Q105: Which of the following assumptions concerning the
Q113: Referring to Table 12-17, which test should
Q134: Referring to Table 16-13, to obtain a
Q198: Referring to Table 12-10, the null hypothesis
Q240: Referring to Table 14-11, what should be
Q257: A multiple regression is called "multiple" because