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 Using Excel generate a simple regression model with profits as the dependent variable and sales revenue as the independent variable. Write the coefficients from the output: Intercept Independent variable R-square Significance F
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 Using Excel generate a simple regression model with profits as the dependent variable and sales revenue as the independent variable. Write the coefficients from the output: Intercept Independent variable R-square Significance F
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
| 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 |
- Using Excel generate a simple regression model with profits as the dependent variable and sales revenue as the independent variable. Write the coefficients from the output:
Intercept
Independent variable
R-square
Significance F
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