While it’s valuable to look at the historical attrition rate, businesses need to be able to project the attrition rate to gauge the company’s future performance. The projected attrition rate can be compared to attrition rates in other businesses in the same industry or sector.  If an unfavorable attrition rate is projected, businesses can implement strategies now to reduce employee turnover. If you know the number of attritions for a few months, you can extrapolate this information for the rest of the year.  Remember that this number is a projection.  It may not take into account seasonal changes that may impact the true attrition rate.  Use the formula Ra=1+Rc12/N−1∗100{\displaystyle R_{a}=1+R_{c}^{12/N}-1*100}.  Ra{\displaystyle R_{a}} = annualized attrition rate  Rc{\displaystyle R_{c}} = cumulative attrition rate  N{\displaystyle N} = the number of time periods observed. Suppose a company wants to use data from January to May to annualize its attrition rate.  On January 1st, the company had 2,050 employees.  The number of attrition was 125, and the number of new hires was 122.  Therefore, the ending number of employees was 2,047.  Calculate the cumulative attrition rate to date.  The average number of employees was 2,048.5 ((2,050+2,047)/2=2,048.5{\displaystyle (2,050+2,047)/2=2,048.5}).  The cumulative attrition rate was 6.1 percent ((125/2,047)∗100=6.10{\displaystyle (125/2,047)*100=6.10}). Annualize the attrition rate. The cumulative attrition rate is 6.1 percent and the number of time periods observed is 5 (January through May is five months). Ra=1+.06112/5−1∗100{\displaystyle R_{a}=1+.061^{12/5}-1*100} Ra=1.0612.4−1∗100{\displaystyle R_{a}=1.061^{2.4}-1*100} Ra=1.153−1∗100{\displaystyle R_{a}=1.153-1*100} Ra=.153∗100=15.3{\displaystyle R_{a}=.153*100=15.3} The annualized rate of return is 15.3 percent. Use the same formula, only instead of 12 months, use 3 months.  For example, suppose the same company in the example above wanted to use its April and May data to project attrition for the entire...

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Write a summary of the previous text in Chinese:
了解预测离职率的意义。 学习年化数据的公式。 根据月度数据推算出年度离职率。 预测季度离职率。