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Well if it is a negative value then it has a negative correlation. Â Meaning that as one goes up then the other goes down. Â It could mean that if money was x, and happiness was y then the more money you make then the less happiness you have. Â But also since it was a value of .25 that means it is a weak correlation so there is not much value to this.
With any data collection you have the more participates the more accurate the data. Â Since you only initially took 50, then by taking 950 more the data could be completely flipped and could have a positive strong correlation. Â Although there is no way to tell what the results might be.
Randomly selected would be very important. Â A sample set that wouldnt be a true representation of the population would be professional athletes. Â Generally speaking they are very very wealthy and for the more part they are generally happy because they are doing what they love more than anything. Â I would assume that not everyone that is wealthy like that has the same passion for their work and the same happiness in life. Â They are just playing a game that they love and getting millions for it. Â Definitely doesn't represent the population.Â
With any data collection you have the more participates the more accurate the data. Â Since you only initially took 50, then by taking 950 more the data could be completely flipped and could have a positive strong correlation. Â Although there is no way to tell what the results might be.
Randomly selected would be very important. Â A sample set that wouldnt be a true representation of the population would be professional athletes. Â Generally speaking they are very very wealthy and for the more part they are generally happy because they are doing what they love more than anything. Â I would assume that not everyone that is wealthy like that has the same passion for their work and the same happiness in life. Â They are just playing a game that they love and getting millions for it. Â Definitely doesn't represent the population.Â