Impact statistic #1
- Site for the date. http://www.nationmaster.com/time.php?stat=lab_fir_cos_wee_of_wag&country=ch
- The Y intercept is 91, (Y=91)
- Its a linear equation because its a straight line.
- An estimate for the data five years after the study the number would still be 91 and if it was before the study it would stay 91 as well.
Impact statistic #2
- http://www.nationmaster.com/time.php?stat=edu_ill_rat_by_sex_age_15&country=ch
- This equation is linear because its a straight line and its increases at a steady speed.
- In five year will be still go at a steady speed at be linear, If it is five years before it would still be linear as well.
Application
- There is no benefits to have an equation for your data.
- There is a benefit to making graphs you have a better look and understanding to what the graph is saying and you can see if its linear or not a lot easier.
- From both graphs i have learned the Labor and disasters in Chine or the past few years. I have learned that both impacts are linear and will stay that way for years to come.
- Nation Master . N.p., n.d. Web. 9 Dec. 2011. <http://www.nationmaster.com/ time.php?stat=lab_fir_cos_wee_of_wag&country=ch >.