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Several Authors Have Tried to Measure the "Persistence" in U uri,t=β0+β1×uri,tk+zi,tu r _ { i , t } = \beta _ { 0 } + \beta _ { 1 } \times u r _ { i , t - k } + z _ { i , t }

question 1

Essay

Several authors have tried to measure the "persistence" in U.S state unemployment rates
by running the following regression: uri,t=β0+β1×uri,tk+zi,tu r _ { i , t } = \beta _ { 0 } + \beta _ { 1 } \times u r _ { i , t - k } + z _ { i , t } where uru r is the state unemployment rate, ii is the index for the ii -th state, tt indicates a time period, and typically k10k \geq 10 . (a)Explain why finding a slope estimate of one and an intercept of zero is typically
interpreted as evidence of "persistence."

Understand the role and calculation of standard deviation in the establishment of control limits.
Recognize the significance of sample size in the context of control charts and statistical process control.
Identify the fundamentality of the Central Limit Theorem in statistical process control.
Understand the relationship between process control limits and specification limits.

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