5. In order to analyse the relationship between Research & Development spending (in monetary units, m. u.) and turnover (in monetary units, m. u.) for companies operating in IT, there have been randomly selected 20 companies and data has been recorded on the two variables. Assuming a linear dependence between R&D spending and turnover and using the data from the sample, the Excel output is presented below: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Turnover df *********** 0.900 0.799 20 SS Coefficients Standard Error -3.51433 2.03880 0.05619 MS t Stat ********………. Please, solve the following requirements: a) fill in the missing information in the above tables; F 76.691 P-value 0.10189 0.00000007 Significance F 0.00000007 Lower 95% -7.79768 ********** Upper 95% 0.06967
5. In order to analyse the relationship between Research & Development spending (in monetary units, m. u.) and turnover (in monetary units, m. u.) for companies operating in IT, there have been randomly selected 20 companies and data has been recorded on the two variables. Assuming a linear dependence between R&D spending and turnover and using the data from the sample, the Excel output is presented below: SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations ANOVA Regression Residual Total Intercept Turnover df *********** 0.900 0.799 20 SS Coefficients Standard Error -3.51433 2.03880 0.05619 MS t Stat ********………. Please, solve the following requirements: a) fill in the missing information in the above tables; F 76.691 P-value 0.10189 0.00000007 Significance F 0.00000007 Lower 95% -7.79768 ********** Upper 95% 0.06967
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
![5. In order to analyse the relationship between Research & Development spending (in monetary units, m. u.)
and turnover (in monetary units, m. u.) for companies operating in IT, there have been randomly selected
20 companies and data has been recorded on the two variables. Assuming a linear dependence between
R&D spending and turnover and using the data from the sample, the Excel output is presented below:
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
Turnover
df
0.900
0.799
20
SS
Coefficients Standard Error
-3.51433
2.03880
0.05619
MS
t Stat
Please, solve the following requirements:
a) fill in the missing information in the above tables;
F
76.691
P-value
0.10189
0.00000007
Significance F
0.00000007
Lower 95%
-7.79768
Upper 95%
0.06967](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fb73cd9c6-3f22-46ae-872a-58a656a70d83%2Fcbd24cc5-3d18-41c6-86b2-347629954f8c%2Flnef8h_processed.png&w=3840&q=75)
Transcribed Image Text:5. In order to analyse the relationship between Research & Development spending (in monetary units, m. u.)
and turnover (in monetary units, m. u.) for companies operating in IT, there have been randomly selected
20 companies and data has been recorded on the two variables. Assuming a linear dependence between
R&D spending and turnover and using the data from the sample, the Excel output is presented below:
SUMMARY OUTPUT
Regression Statistics
Multiple R
R Square
Adjusted R Square
Standard Error
Observations
ANOVA
Regression
Residual
Total
Intercept
Turnover
df
0.900
0.799
20
SS
Coefficients Standard Error
-3.51433
2.03880
0.05619
MS
t Stat
Please, solve the following requirements:
a) fill in the missing information in the above tables;
F
76.691
P-value
0.10189
0.00000007
Significance F
0.00000007
Lower 95%
-7.79768
Upper 95%
0.06967
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