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Test (1031) and the Rotating Bomb Uxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3625 RBOT 370 335 TOST 4870 4475 RBOT 400 375 3750 3675 4050 2795 375 315 350 205 3450 285 (a) Calculate.the.value of the sample correlation coefficient. (Round your answer to four decimal places.) re 2700 3750 3275 220 345 280 Enter a number. Interpret the value of the sample correlation coefficient. O The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. (b) How would the value of r be affected if we had let x = RBOT time and y TOST time? The value of r would increase. o The value of r would remain the same. The value of r would decrease. The value of r would be multiplied by -1. ✓ (c) How would the value of r be affected if RBOT time were expressed in hours? The value of r would be multiplied by -1. o The value of r would remain the same. The value of r would increase. The value of r would decrease.

Test (1031) and the Rotating Bomb Uxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST 4200 3625 RBOT 370 335 TOST 4870 4475 RBOT 400 375 3750 3675 4050 2795 375 315 350 205 3450 285 (a) Calculate.the.value of the sample correlation coefficient. (Round your answer to four decimal places.) re 2700 3750 3275 220 345 280 Enter a number. Interpret the value of the sample correlation coefficient. O The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. (b) How would the value of r be affected if we had let x = RBOT time and y TOST time? The value of r would increase. o The value of r would remain the same. The value of r would decrease. The value of r would be multiplied by -1. ✓ (c) How would the value of r be affected if RBOT time were expressed in hours? The value of r would be multiplied by -1. o The value of r would remain the same. The value of r would increase. The value of r would decrease.

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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Please calculate r, t, and the p-value
The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST RBOT TOST RBOT 4200 370 3625 3750 3675 4050 2795 335 375 315 350 205 4870 4475 400 375 3450 2700 285 220 3750 3275 345 280 (a)..Calculate.the.value of the sample correlation coefficient. (Round your answer to four decimal places.) x Enter a number. Interpret the value of the sample correlation coefficient. O The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. (b) How would the value of r be affected if we had let x = RBOT time and y = TOST time? The value of r would increase. o The value of r would remain the same. The value of r would decrease. The value of r would be multiplied by -1. (c) How would the value of r be affected if RBOT time were expressed in hours? The value of r would be multiplied by -1. o The value of r would remain the same. The value of r would increase. The value of r would decrease.
Transcribed Image Text:The Turbine Oil Oxidation Test (TOST) and the Rotating Bomb Oxidation Test (RBOT) are two different procedures for evaluating the oxidation stability of steam turbine oils. An article reported the accompanying observations on x = TOST time (hr) and y = RBOT time (min) for 12 oil specimens. TOST RBOT TOST RBOT 4200 370 3625 3750 3675 4050 2795 335 375 315 350 205 4870 4475 400 375 3450 2700 285 220 3750 3275 345 280 (a)..Calculate.the.value of the sample correlation coefficient. (Round your answer to four decimal places.) x Enter a number. Interpret the value of the sample correlation coefficient. O The value of r indicates that there is a strong, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, positive linear relationship between TOST and RBOT. The value of r indicates that there is a weak, negative linear relationship between TOST and RBOT. The value of r indicates that there is a strong, negative linear relationship between TOST and RBOT. (b) How would the value of r be affected if we had let x = RBOT time and y = TOST time? The value of r would increase. o The value of r would remain the same. The value of r would decrease. The value of r would be multiplied by -1. (c) How would the value of r be affected if RBOT time were expressed in hours? The value of r would be multiplied by -1. o The value of r would remain the same. The value of r would increase. The value of r would decrease.
Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) t = P-value = State the conclusion in the problem context. O Fail to reject Ho. The model is not useful. O Reject Ho. The model is useful. Fail to reject Ho. The model is useful. Reject Ho. The model is not useful.
Transcribed Image Text:Calculate the test statistic and determine the P-value. (Round your test statistic to two decimal places and your P-value to three decimal places.) t = P-value = State the conclusion in the problem context. O Fail to reject Ho. The model is not useful. O Reject Ho. The model is useful. Fail to reject Ho. The model is useful. Reject Ho. The model is not useful.
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