A study of a high-pressure inlet fogging method for a gas turbine engine analyzed a completesecond-order model for y, heat rate (kilojoules per kilowatt per hour) of a gas turbine as a functionof two quantitative variables• x1 , cycle speed (revolutions per minute)• x2 , cycle pressure ratioand a qualitative predictor, engine type, at three levels (traditional, advanced, and aeroderivative).We define two dummy variables(1 if advancedX3 =0 if not{o1and X4 =ここif aeroderivative0if notThere are 67 observations in the dataset. We conduct a global F-test for overall model adequacy at alevel of significance 5%.1. Numerator degrees of freedom2. Denominator degrees of freedom3. If F-value equals to 30.52, then we(reject or fail to reject) the nullhypothesis at 5%. There is(sufficient or insufficient) that the completesecond-order model is overall useful.

Given: n = 67 k = number of independent variables = 4 Part 1: Numerator degrees of freedom = k = 4 =…

A study of a high-pressure inlet fogging method for a gas turbine engine analyzed a complete second-order model for y, heat rate (kilojoules per kilowatt per hour) of a gas turbine as a function of two quantitative variables • X1 , cycle speed (revolutions per minute) • x2, cycle pressure ratio and a qualitative predictor, engine type, at three levels (traditional, advanced, and aeroderivative). We define two dummy variables S1 if advanced X3 = 0if not 1 if aeroderivative and X4 = not There are 67 observations in the dataset. We conduct a global F-test for overall model adequacy at a level of significance 5%. 1. Numerator degrees of freedom 2. Denominator degrees of freedom 3. If F-value equals to 30.52, then we (reject or fail to reject) the null hypothesis at 5%. There is (sufficient or insufficient) that the complete second-order model is overall useful.

A study of a high-pressure inlet fogging method for a gas turbine engine analyzed a complete second-order model for y, heat rate (kilojoules per kilowatt per hour) of a gas turbine as a function of two quantitative variables • X1 , cycle speed (revolutions per minute) • x2, cycle pressure ratio and a qualitative predictor, engine type, at three levels (traditional, advanced, and aeroderivative). We define two dummy variables S1 if advanced X3 = 0if not 1 if aeroderivative and X4 = not There are 67 observations in the dataset. We conduct a global F-test for overall model adequacy at a level of significance 5%. 1. Numerator degrees of freedom 2. Denominator degrees of freedom 3. If F-value equals to 30.52, then we (reject or fail to reject) the null hypothesis at 5%. There is (sufficient or insufficient) that the complete second-order model is overall useful.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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A study of a high-pressure inlet fogging method for a gas turbine engine analyzed a complete second-order model for y, heat rate (kilojoules per kilowat per hour) of a gas turbine as a function of two quantitative variables
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