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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).
The PHStat output is given below:
Binary Logistic Regression
-Referring to Scenario 14-18, there is not enough evidence to conclude that SAT
score makes a significant contribution to the model in the presence of Toefl90 at a 0.05 level of
significance.
Gas Utility
Companies that provide natural gas services to residential, commercial, and industrial customers.
Market Structure
The competitive environment characterizing a market, determined by the number of firms, product differentiation, and ease of entry and exit.
Agricultural Products
Goods derived from agriculture including crops, livestock, and products directly obtained from farming activities.
Wheat
Wheat is a cereal grain grown worldwide and is a staple food ingredient used for making bread, pasta, cake, and many other food products.
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Q145: Referring to Scenario 14-15, which of
Q152: Referring to Scenario 12-2, the null hypothesis
Q164: Referring to Scenario 12-2, the hypotheses
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Q244: Referring to Scenario 14-17, there is sufficient