The correlation coefficient r measures the direction and strength of a linear relationship. Calculating r is pretty complex, so we usually rely on technology for the computations. We focus on understanding what r says about a scatterplot.
Log in hamadi aweyso 5 years agoPosted 5 years ago. Direct link to hamadi aweyso's post “i dont know what im still...” i dont know what im still doing here • (36 votes) Keitrell Harvey a month agoPosted a month ago. Direct link to Keitrell Harvey's post “In essence, it is essenti...” In essence, it is essential to examine the graph meticulously, taking into account each option presented. It is noteworthy that a lower numerical value indicates a greater degree of point dispersion, implying a lack of clear direction. Conversely, a higher numerical value signifies a denser clustering of points, suggesting a more concentrated pattern. (1 vote) Shreyes M 7 years agoPosted 7 years ago. Direct link to Shreyes M's post “How can we prove that the...” How can we prove that the value of r always lie between 1 and -1 ? • (12 votes) Luis Fernando Hoyos Cogollo 6 years agoPosted 6 years ago. Direct link to Luis Fernando Hoyos Cogollo's post “Here https://sebastiansau...” (2 votes) WeideVR 7 years agoPosted 7 years ago. Direct link to WeideVR's post “Weaker relationships have...” Weaker relationships have values of r closer to 0. But r = 0 doesn’t mean that there is no relation between the variables, right? I mean, if r = 0 then there is no linear correlation, but we still could have a non linear correlation? • (6 votes) dufrenekm 7 years agoPosted 7 years ago. Direct link to dufrenekm's post “Theoretically, yes. The r...” Theoretically, yes. The r-value you are referring to is specific to the linear correlation. (7 votes) Jake Kroesen 4 years agoPosted 4 years ago. Direct link to Jake Kroesen's post “I am taking Algebra 1 not...” I am taking Algebra 1 not whatever this is but I still chose to do this • (4 votes) johra914 7 years agoPosted 7 years ago. Direct link to johra914's post “Calculating the correlati...” Calculating the correlation coefficient is complex, but is there a way to visually "estimate" it by looking at a scatter plot? Or do we have to use computors for that? • (3 votes) User Name a year agoPosted a year ago. Direct link to User Name's post “When it is said that to c...” When it is said that to calculate the correlation coefficient is complex, is this simply because there are a lot of data points at play, or is the math difficult to comprehend for the course level? • (1 vote) cossine a year agoPosted a year ago. Direct link to cossine's post “lots of data points. defi...” lots of data points. definition is easy to understand. (2 votes) ayooyedemi45 4 years agoPosted 4 years ago. Direct link to ayooyedemi45's post “What's spearman's correla...” What's spearman's correlation coefficient? • (1 vote) jamari-wood 2 months agoPosted 2 months ago. Direct link to jamari-wood's post “i dont know what im still...” i dont know what im still doing here • (1 vote) Eric Bandera a year agoPosted a year ago. Direct link to Eric Bandera's post “Based on the formula, I t...” Based on the formula, I think I can imagine examples that give high scores for correlation, but have values that are off. Likewise, I can image examples where the score is lower and everything is on the line. For example, any data point that has an x value near the x mean will be valued at 0, even if the y value is in outer space. Yes, it is still counted as a data point, and so reduces the correlation, but not by much. Likewise, if there is a line with (x,y) at the edges (driving up the standard deviation up), and then the mass of data points, towards the mean in both x and y, that could drive the correlation down. In other words it seems to favor record sets with similar z indexes in the extremities, which to me does not seem exactly like a clean measurement. • (1 vote) daniella 4 months agoPosted 4 months ago. Direct link to daniella's post “Your observations about t...” Your observations about the correlation coefficient are valid. The correlation coefficient is influenced by the distribution and spread of data points, as well as their deviations from the means of the variables. While the formula for the correlation coefficient accounts for deviations and standard deviations, it may not capture all aspects of the relationship between variables, especially in non-linear relationships. As you mentioned, extreme data points or outliers can affect the correlation coefficient, potentially leading to misleading interpretations. It's essential to consider the context of the data and interpret the correlation coefficient alongside other statistical measures and graphical representations to gain a comprehensive understanding of the relationship between variables. (1 vote) fancy.shuu 6 years agoPosted 6 years ago. Direct link to fancy.shuu's post “is correlation can only ...” is correlation can only used in two features instead of two clustering of features? • (1 vote)Want to join the conversation?
