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Choose the correct computed and table test statistics Region 1 and for Ho;BRegion1= 0; O Fc= 6.9 O Table T.025,4,52 and T.025,4,52 O Tc= 12.51

Choose the correct computed and table test statistics Region 1 and for Ho;BRegion1= 0; O Fc= 6.9 O Table T.025,4,52 and T.025,4,52 O Tc= 12.51

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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Choose the correct computed and table test statistics Region 1 and for Ho;BRegion1= 0; O Fc= 6.9 O Table = T.025,4,52 and T.O25,4,52 O Tc= 12.51 O Tc=1.93 Choose the best recommendation for ABLine that minimizes Excess space O Do not spend money using ABLine versus other carriers to minimize excess space. O Choose ABLine and Region 2 in order to minimizes excess space. O Choose other carriers rather than ABLine to minimize Excess space O Choose ABLine in order to reduce excess space since ABLine has lower Excess space than other carriers. Choose the best recommendation for Region 2 to minimize Excess space. O Use Region 3 rather than Region 2 origination. O Use Region 2 versus other originations. O Use Region 2 rather than Region 3 origination. O Do not pay more for Region 2 versus Region 3 origination.
Transcribed Image Text:Choose the correct computed and table test statistics Region 1 and for Ho;BRegion1= 0; O Fc= 6.9 O Table = T.025,4,52 and T.O25,4,52 O Tc= 12.51 O Tc=1.93 Choose the best recommendation for ABLine that minimizes Excess space O Do not spend money using ABLine versus other carriers to minimize excess space. O Choose ABLine and Region 2 in order to minimizes excess space. O Choose other carriers rather than ABLine to minimize Excess space O Choose ABLine in order to reduce excess space since ABLine has lower Excess space than other carriers. Choose the best recommendation for Region 2 to minimize Excess space. O Use Region 3 rather than Region 2 origination. O Use Region 2 versus other originations. O Use Region 2 rather than Region 3 origination. O Do not pay more for Region 2 versus Region 3 origination.
A logistics company needs to minimize the excess space measured as 1000 sqft on any given delivery Excess1000. He gathers data on a sample of N=57 shipments and would like to run a regression with the following independent varlables. The results are reported below. Client10 is a continuous varlable that measures the number of customers in 10's on any one shlpment. The categorical variables are Region and ABLine shown below. ABLine =1 if shipment was on ABLine carrier =0 if shipment was on Other carrier Region1 =1 f shipment originated in Region1 =0 otherwise Region2 =1 if shipment originated in Region 2 Omitted category is Region3 =0 otherwise Regression Analysis: Excess1000 versus Client10, ABLine, Reg1, Reg2 Method Categorical predictor coding (1, 0) Analysis of Variance Source Regression Client10 ABLine Reg1 Reg2 Eror Lack-of-Fit 18 Pure Error 34 12311.1 Total DF Adj SS Adi MS F-Value P-Value 0.000 0.002 0.687 0.060 0.040 4 10103.1 2525.77 1 3796.3 3796.33 59.94 13552 1355.22 1619.0 1619.04 52 19007.3 365.52 372.01 362.09 691 10.39 0.16 3.71 59.9 1 443 6696.1 1.03 0457 56 29110.4 Model Summary R-sg R-sgladi) R-sgfored 19.1107 34.71% 29.68% 23.09% Coefficients Term Constant Client10 ABLine Coet SE Coef T-Value P.Value VIF 2.72 3.22 1855 681 0.009 0.002 1.05 529 1.64 2.15 531 -0.40 0.687 1.09 Reg 1251 650 1.93 0.060 116 Reg2 13.09 622 -2.10 0040 1.12
Transcribed Image Text:A logistics company needs to minimize the excess space measured as 1000 sqft on any given delivery Excess1000. He gathers data on a sample of N=57 shipments and would like to run a regression with the following independent varlables. The results are reported below. Client10 is a continuous varlable that measures the number of customers in 10's on any one shlpment. The categorical variables are Region and ABLine shown below. ABLine =1 if shipment was on ABLine carrier =0 if shipment was on Other carrier Region1 =1 f shipment originated in Region1 =0 otherwise Region2 =1 if shipment originated in Region 2 Omitted category is Region3 =0 otherwise Regression Analysis: Excess1000 versus Client10, ABLine, Reg1, Reg2 Method Categorical predictor coding (1, 0) Analysis of Variance Source Regression Client10 ABLine Reg1 Reg2 Eror Lack-of-Fit 18 Pure Error 34 12311.1 Total DF Adj SS Adi MS F-Value P-Value 0.000 0.002 0.687 0.060 0.040 4 10103.1 2525.77 1 3796.3 3796.33 59.94 13552 1355.22 1619.0 1619.04 52 19007.3 365.52 372.01 362.09 691 10.39 0.16 3.71 59.9 1 443 6696.1 1.03 0457 56 29110.4 Model Summary R-sg R-sgladi) R-sgfored 19.1107 34.71% 29.68% 23.09% Coefficients Term Constant Client10 ABLine Coet SE Coef T-Value P.Value VIF 2.72 3.22 1855 681 0.009 0.002 1.05 529 1.64 2.15 531 -0.40 0.687 1.09 Reg 1251 650 1.93 0.060 116 Reg2 13.09 622 -2.10 0040 1.12
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