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SCENARIO 13-18
a Logistic Regression Model Was Estimated in Order

question 44

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SCENARIO 13-18
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:
Binary Logistic Regression  Predictor  Coefficients  SE Coef Zp-Value  Intercept 3.95941.67412.36500.0180 SAT 0.00280.00112.54590.0109 Toefl90:1 0.19280.58270.33090.7407 Deviance 101.9826\begin{array}{l}\begin{array} { l r r r r } \hline { \text { Predictor } } & \text { Coefficients } & \text { SE Coef } &{ Z } & p \text {-Value } \\\hline \text { Intercept } & - 3.9594 & 1.6741 & - 2.3650 & 0.0180 \\\text { SAT } & 0.0028 & 0.0011 & 2.5459 & 0.0109 \\\text { Toefl90:1 } & 0.1928 & 0.5827 & 0.3309 & 0.7407\\\text { Deviance } & 101.9826\\\end{array}\\\end{array}
-Referring to SCENARIO 13-18, what should be the decision ('reject' or 'do not reject') on the null hypothesis when testing whether Toefl90 makes a significant contribution to the model in the presence of SAT at a 0.05 level of significance?


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Verbal Compliments

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Reinforcement Contingencies

The conditions or rules that determine whether responses lead to the presentation of reinforcers or not, influencing the likelihood of a behavior occurring again.

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Qualities or features that are attractive or worth having.

Intermittent Reinforcement

A conditioning schedule where rewards or punishments are given out unpredictably, significantly impacting behavior.

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