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SCENARIO 14-18 a Logistic Regression Model Was Estimated in Order

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SCENARIO 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 and whether the TOEFL criterion is at least 90 (Toefl90 = 1 if yes, 0 otherwise.)The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise).There are 80 universities in the sample. The PHStat output is given below: SCENARIO 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 and whether the TOEFL criterion is at least 90 (Toefl90 = 1 if yes, 0 otherwise.)The dependent variable, Y, is school type (Type = 1 if private and 0 otherwise).There are 80 universities in the sample. The PHStat output is given below:   -Referring to Scenario 14-18, there is not enough evidence to conclude that Toefl90 makes a significant contribution to the model in the presence of SAT at a 0.05 level of significance.
-Referring to Scenario 14-18, there is not enough evidence to conclude that Toefl90 makes a significant contribution to the model in the presence of SAT at a 0.05 level of significance.

Analyze argument structure for logical validity.
Differentiate between different types of logical inference rules beyond the five fundamental ones, including Simplification (Simp), Addition (Add), Constructive Dilemma (CD), and Destructive Dilemma (DD).
Recognize the application of double negation and its role in logical inference.
Understand the concept of equivalence in logical arguments and how it can be used to infer conclusions.

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