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Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of ln(orders): Choose one: a. It is estimated that a 1% increase in orders is expected to increase mean costs by approximately 0.4% up to 1% with 95% confidence b. A 10% increase in orders is estimated to increase mean costs by approximately 4% to 10% taking into account the sales effect with 95% confidence c. The estimated effect of orders on costs varies between 0,4 and 1,0 with 95% confidence d. The 95% confidence interval of the variable ln(orders) is between 0,4 and 1,0.

Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of ln(orders): Choose one: a. It is estimated that a 1% increase in orders is expected to increase mean costs by approximately 0.4% up to 1% with 95% confidence b. A 10% increase in orders is estimated to increase mean costs by approximately 4% to 10% taking into account the sales effect with 95% confidence c. The estimated effect of orders on costs varies between 0,4 and 1,0 with 95% confidence d. The 95% confidence interval of the variable ln(orders) is between 0,4 and 1,0.

MATLAB: An Introduction with Applications
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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Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of ln(orders):

Choose one:
a.
It is estimated that a 1% increase in orders is expected to increase mean costs by approximately 0.4% up to 1% with 95% confidence
b.
A 10% increase in orders is estimated to increase mean costs by approximately 4% to 10% taking into account the sales effect with 95% confidence
c.
The estimated effect of orders on costs varies between 0,4 and 1,0 with 95% confidence
d.
The 95% confidence interval of the variable ln(orders) is between 0,4 and 1,0.
The manager of an e-shop is currently facing the business problem of identifying factors that determine her warehouse distribution costs (in thousands of $). She considers sales (in thousands of $) and the number of orders received and estimates a loglinear regression model. The estimation results are as follows: SUMMARY OUTPUT Regression Statistics Multiple R 0.921 Stand. Error 0.074 24 Observations ANOVA Regression Residual Total SS MS F 2 0.644 0.322 58.405 21 0.116 0.006 23 0.760 df Stand. Coeff. Error t Stat P- value Intercept 3.463 0.764 4.532 0.000 In(Sales) 0.302 0.136 2.218 0.038 In(Orders) 0.701 0.145 4.835 0.000 Significance F 0.000 Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of In(orders):
Transcribed Image Text:The manager of an e-shop is currently facing the business problem of identifying factors that determine her warehouse distribution costs (in thousands of $). She considers sales (in thousands of $) and the number of orders received and estimates a loglinear regression model. The estimation results are as follows: SUMMARY OUTPUT Regression Statistics Multiple R 0.921 Stand. Error 0.074 24 Observations ANOVA Regression Residual Total SS MS F 2 0.644 0.322 58.405 21 0.116 0.006 23 0.760 df Stand. Coeff. Error t Stat P- value Intercept 3.463 0.764 4.532 0.000 In(Sales) 0.302 0.136 2.218 0.038 In(Orders) 0.701 0.145 4.835 0.000 Significance F 0.000 Referring to the above results, choose the correct answer with regards to the 95% confidence interval of the slope of In(orders):
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