Descriptive Data – has cleaned data from November 2018 – existing on 384 chess players. This post will summarized the most vital variables. The vast majority of the gamers have been ages 10-50, but we however experienced very a several players over age 50.

Frequencies of age team

The dependent variable for most of our analyses was once-a-year rating achieve. The median in our knowledge set was 110 details, with the 25th percentile at 25 factors and the 75th percentile 218 factors. The median weekly hrs invested was 7 hours, with 25/75th percentiles at 4 and 14 hrs respectively.

Summary of Once-a-year Rating Get
   Min. 1st Qu.  Median    Signify 3rd Qu.    Max. 
 -340.    25.   110.   144.2   218.   640. 

Summary of Weekly Hrs Used on Chess
   Min. 1st Qu.  Median    Necessarily mean 3rd Qu.    Max. 
  .000   4.000   7.000   9.572  14.000  42.000 

We will get into modeling in a upcoming write-up, but there are three really robust predictors of yearly ranking attain:

  • Hours Invested (much more hrs are inclined to see a lot more gains – great!)
  • Beginning Rating (decreased starting ranking tends to get additional points yearly)
  • Age (more youthful gamers are likely to boost far more rapidly)

Here’s a glance at the annual ranking gain by hours expended, stratified by beginning rating. There does show up to be a good association amongst hours used and ranking achieve up till about 25 hrs spent. Soon after that the facts is a sparser, but it is attention-grabbing to ponder if there is a burnout stage above 25-30 hrs of chess for each week.

Once-a-year Rating Achieve vs. Chess Hours/7 days, Stratified by Start Rating

Remember to let me know if there is any other info which is especially exciting in the remarks.

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