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I want to find out how Attractiveness influences world ranking in a sport

  • 1.  I want to find out how Attractiveness influences world ranking in a sport

    Posted Thu January 12, 2023 10:04 AM
    Hello everyone,

    using the Data sheet below, I want to find out how a Players attractiveness influences his Worldranking or to put it differently, I want to find out if there is a correlation between the two (the more attractive you, the better your worldranking).


    I would really appreciate the help because it's the first time I am using a statistical program and I'm having a very hard time to be honest, so please bear with me!

    Best regards,
    Jan


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    Jan Löschmann
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    #SPSSStatistics


  • 2.  RE: I want to find out how Attractiveness influences world ranking in a sport

    Posted Thu January 12, 2023 10:22 AM
    Edited by System Fri January 20, 2023 04:13 PM
    Hi.

    Using the dialogs, go to Analyze > Correlate > Bivariate...

    Choose either Pearson, Kendall's Tau b, or Spearman.

    All of them will yield similar results, most likely; the choice of which to use lies is in the assumptions you make about the variables (for example, their measurement levels; whether scale, ordinal, nominal). There are many statistical web sites that will give you more information about those, should you need it.

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    Rick Marcantonio
    Quality Assurance
    IBM
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  • 3.  RE: I want to find out how Attractiveness influences world ranking in a sport

    Posted Mon March 27, 2023 09:24 AM

    Hello Jan,

    It's great to hear that you're interested in analyzing the relationship between a player's attractiveness and their world ranking. I'd be happy to help you with this analysis.

    To begin with, it's important to note that correlation does not necessarily imply causation. In other words, just because there may be a correlation between attractiveness and world ranking, it does not mean that one causes the other. There may be other factors at play that influence both variables.

    To analyze this relationship, you can use a statistical program such as R, Python, or Excel. Here are some steps you can follow:

    1. Organize your data: It's important to have a clear and organized dataset. You should have data on each player's world ranking and their attractiveness rating. Make sure that each data point corresponds to a unique player.

    2. Check for outliers: Outliers are data points that are significantly different from the rest of the data. They can have a strong influence on the correlation between variables. You should check for outliers in both the world ranking and attractiveness variables.

    3. Calculate the correlation coefficient: The correlation coefficient is a measure of the strength and direction of the relationship between two variables. A value of 1 indicates a perfect positive correlation (as one variable increases, so does the other), a value of -1 indicates a perfect negative correlation (as one variable increases, the other decreases), and a value of 0 indicates no correlation. You can use a correlation test such as Pearson's correlation coefficient to calculate the correlation between attractiveness and world ranking.

    4. Interpret the results: Once you have calculated the correlation coefficient, you can interpret the results. A positive correlation indicates that higher levels of attractiveness are associated with higher world rankings. A negative correlation indicates the opposite. A correlation coefficient of 0 indicates no relationship between the variables.

    It's important to note that correlation does not necessarily imply causation, as mentioned earlier. There may be other factors at play that influence both attractiveness and world ranking.

    I hope this helps you get started with your analysis. Good luck, and feel free to ask if you have any further questions!

    Best regards, Rodolfo S Crocker

    <quillbot-extension-portal></quillbot-extension-portal>



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    Rodolfo Crocker
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