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A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a new job (Weeks). Assume you have 15 years of work experience and are unemployed. What is your expectation regarding how many weeks it will take you maximally to find a new job (with 97.5% probability)?

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Question 5 A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a new job…

Data Analytics for Lean Six Sigma | Online Course Support

A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a new job (Weeks). Based on the outputs presented, what is the correct conclusion?

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3. Question 3   A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a…

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You perform a regression and find a p-value of 0.558 and an R-squared of 0.7%. Which one of the graphs belongs to these numbers?

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Question 2 You perform a regression and find a p-value of 0.558 and an R-squared of 0.7%. Which one of the graphs belongs to these numbers?   1 point  …

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You work at the department of a bank, that decides whether or not to grant loans to startup companies. You consider the influence factor “Pages”, which is the number of pages of the request that is sent in. You run a statistical test to find out whether this significantly influences the decision of whether or not the loan is granted. See the output. Which conclusion is false?

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9. Question 9 You work at the department of a bank, that decides whether or not to grant loans to startup companies. You consider the influence factor “Pages”, which is…

Data Analytics for Lean Six Sigma | Online Course Support

You work at the department of a bank, that decides whether or not to grant loans for startup companies. The CTQ is whether or not a loan is granted, and the unit is a loan request from a startup company. We consider statistically testing the following two influence factors:

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Question 8 You work at the department of a bank, that decides whether or not to grant loans for startup companies. The CTQ is whether or not a loan is…

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A regression is performed to determine the effect of the Experience of an employee (in years) on the Processing Time (PT) of a job. Is this a good fit?

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7. Question 7 A regression is performed to determine the effect of the Experience of an employee (in years) on the Processing Time (PT) of a job. Is this a…

Data Analytics for Lean Six Sigma | Online Course Support

A regression is performed to determine the effect of the Experience of an employee (in years) on the Throughput Time (TT) of a case. A residual plot is also made. What conclusion can be drawn from the presented information?

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  6. Question 6 A regression is performed to determine the effect of the Experience of an employee (in years) on the Throughput Time (TT) of a case. A residual…

Data Analytics for Lean Six Sigma | Online Course Support

A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a new job (Weeks). The transfer function is: Weeks = 3.81 + 0.54 WorkExp.

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Question 4 A regression is performed to determine the effect of work experience (WorkExp, in years) on the number of weeks it takes unemployed people to find a new job…

Data Analytics for Lean Six Sigma | Online Course Support

You work at the department of a bank, that decides whether or not to grant loans for startup companies. You consider the influence factor Tech, which measures whether a startup operates in the technology sector, or not. You performed a Chi-square test. Which conclusion fits the output best?

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10. Question 10 You work at the department of a bank, that decides whether or not to grant loans for startup companies. You consider the influence factor Tech, which measures…