@rivosuoth According to Wikipedia (and how could they be wrong?): "The Spearman correlation coefficient is defined as the Pearson correlation coefficient between the ranked variables." Yes, a llne of best fit is really more appropriate for interval data than ordinal data.
You're plotting the regression line, but the correlation method you use is Spearman. I heard from elsewhere that it's meaningless to bring the line that best fit the Spearman correlation. I'm reporting the same case in fact, and the approach I use is first I convert the values into ranked values, and then plot them and bring the line best fit the Pearson correlation of ranked values. Is it better?
@rivosuoth According to Wikipedia (and how could they be wrong?): "The Spearman correlation coefficient is defined as the Pearson correlation coefficient between the ranked variables." Yes, a llne of best fit is really more appropriate for interval data than ordinal data.
You're plotting the regression line, but the correlation method you use is Spearman. I heard from elsewhere that it's meaningless to bring the line that best fit the Spearman correlation. I'm reporting the same case in fact, and the approach I use is first I convert the values into ranked values, and then plot them and bring the line best fit the Pearson correlation of ranked values. Is it better?
@scottakenhead It's blurry, period, because of the screen size and software I used to make the video; sorry about that!
Thanks buddy awesome work..Relly helpful for beginners.........
Thanks this video saved me a lot of time :)