DescriptiveStatistics Mean4.857802643Standard Error0.872236698Median3.2Mode1Standard Deviation4.777437152Sample Variance22.82390574Kurtosis2.10829171Skewness1.567625002Range18.45Minimum0.25Maximum18.7Sum145.7340793Count30 CoefficientsaModelUnstandardized CoefficientsStandardized CoefficientstSig.BStd. ErrorBeta1(Constant)6.157.118 52.393.000BI-.013.022-.328-.601.590a. Dependent Variable: Logarithm of SRMake simple management report to non -statistician senior management team on the true meaning of the coefficients obtained ,and descriptive measures obtained above

Given: There are 30 observations whose sum is 145.7340793.

Answered: DescriptiveStatistics Mean…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

100%

DescriptiveStatistics

Mean	4.857802643
Standard Error	0.872236698
Median	3.2
Mode	1
Standard Deviation	4.777437152
Sample Variance	22.82390574
Kurtosis	2.10829171
Skewness	1.567625002
Range	18.45
Minimum	0.25
Maximum	18.7
Sum	145.7340793
Count	30

Coefficients^a
Model	Unstandardized Coefficients	Standardized Coefficients	t	Sig.
B	Std. Error	Beta
1	(Constant)	6.157	.118		52.393	.000
BI	-.013	.022	-.328	-.601	.590
a. Dependent Variable: Logarithm of SR

Make simple management report to non -statistician senior management team on the true meaning of the coefficients obtained ,and descriptive measures obtained above

Definition Definition Measure of central tendency that is the value that occurs most frequently in a data set. A data set may have more than one mode if multiple categories repeat an equal number of times. For example, in a data set with five item—3, 5, 5, 29, 473—the mode is 5 because it occurs twice and no other value occurs more than once. On a histogram or bar chart, the element with the highest bar represents the mode. Therefore, the mode is sometimes considered the most popular option. The mode is useful for nominal or categorical data (e.g., the most common color car that users purchase), but it is problematic for continuous data because it is more likely not to have any value that is more frequent than the other.

Expert Solution