Company Name ProfitsR&D ExpenseSalesAbex1941.6728.4Boeing2256184630184Curtiss-Wright32.71.6179.7GenCorp37361937General Dynamics227663472K&F Industries2914.1782.9Kaman-14.714.1295.5Lockheed54942010100Martin Marietta512.42005954.3McDonnell Douglas108650917373Northrop180935550OEA23.12.688.1Orbital Sciences5.46174.6Pacific Scientific8.18.2172.6Sequa43.817.61868.3Sunstrand130.1115.41672.7Thiokol101.814.21311.7United Technologies200121921641Woodward Governor3316374.2 Evaluate the predictability of the regression model using explanatory language that someone who does not have experience with statistics or regression could understand to make informed business decisions, i.e., Interpret R2, F-test and t-tests.

From the given information, Let X1 as Profits X2 as R&D Expense and Y as sales. Excel Procedure:…

Answered: Company Name Profits R&D Expense Sales…

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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Company Name	Profits	R&D Expense	Sales
Abex	194	1.6	728.4
Boeing	2256	1846	30184
Curtiss-Wright	32.7	1.6	179.7
GenCorp	37	36	1937
General Dynamics	227	66	3472
K&F Industries	29	14.1	782.9
Kaman	-14.7	14.1	295.5
Lockheed	549	420	10100
Martin Marietta	512.4	200	5954.3
McDonnell Douglas	1086	509	17373
Northrop	180	93	5550
OEA	23.1	2.6	88.1
Orbital Sciences	5.4	6	174.6
Pacific Scientific	8.1	8.2	172.6
Sequa	43.8	17.6	1868.3
Sunstrand	130.1	115.4	1672.7
Thiokol	101.8	14.2	1311.7
United Technologies	200	1219	21641
Woodward Governor	33	16	374.2

Evaluate the predictability of the regression model using explanatory language that someone who does not have experience with statistics or regression could understand to make informed business decisions, i.e., Interpret R2, F-test and t-tests.

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