R1 Year Industry Revenue Number of Number of Sales per Dependent employees exist
ID: 3366646 • Letter: R
Question
R1 Year Industry Revenue Number of Number of Sales per Dependent employees existing employee Vaxiable) during thiscomparies during this time uing this ndependent Variable SUMMARY OUTPUT 22000 $3.495.400.000 60,19 Regression Stotstics Multiple F 0891181 R Square 0.794203 Adjusted 1 0.742754 standard I 1.18E09 568 $4 912,100.000 64. $5,582400,000. 2007 $6,241,400,000.00 o 2008 $9 184,700000 ANOVA $7,877,500,000 Regressio 64E-19 2.13E+19 15.43661 0.000202 Residual12 1665+19 1.38E18 Total Coefficier standard p-value intercept 4.25-09 1.66E+09 -2.56265 0.02488 -7.9+09 646+08 -7. 09 6.4+08 Number 01 77792.94|19715.63 3.94555 ?.001343 34834.1 120751.8 348341120751.8 Number o iede: 54886776 1.826438 0.092751 .1.?.07 2.2E+08-1.9E+07 2.2E+06 Sales per 4888 24 8327.003 4.189772 0.001255 16745.26 53031 23 16745.26 53031.23 t Stat Lower 95s upper 9SS Lower ss., Upper 950% 9(a) Explain the mening of the R" and stondd eors of your resuts (b) Interpret the coefficients of your regression resutsExplanation / Answer
a)Rsquared values signifys he coefficient of determination whereas
the standard error denots the accuracy of the model.It represents the standard deviation of the mean within a dataset. This serves as a measure of variation for random variables, providing a measurement for the spread. The smaller the spread, the more accurate the dataset.
b)The coefficients that the increasing strong linear relationship beteen the industry revenue and the number of employeesduring time,
The coefficients that the increasing weak linear relationship beteen the industry revenue and the number of existing companies during time,
The coefficients that the increasing strong relationship beteen the industry revenue and the sales per employee during this time,
and the first coefficient determines the intercept part.
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