Questions tagged [pearsons-correlation-coefficient]

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Agglomerative Clustering (average linkage) and Pearson Correlation

Does having a positive or negative correlation between features being clustered affect the agglomerative clustering result? I have three columns in my dataset, and I'm trying to figure out if I should ...
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Pearson correlation on two categorical variables

I am using the fourth-corner method in one of my papers (for those who need the name). The method was developed to test associations between variables in two datasets. In my case, the datasets ...
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Which method to use to remove correlation between independent variables comprising of both categorical and numerical variables? [duplicate]

The independent variables in the dataset contains categorical variables such as Gender ( 2 levels) Mode of Shipment ( 3 levels) Product Importance ( 4 levels) and Numerical Variables such as ...
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63 views

Calculating correlation for categorical variables

I am struggling to find out a suitable way to calculate correlation coefficient for categorical variables. Pearson's coefficient is not supported for categorical ...
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How many features do I select when doing feature selection for regression algorithms? Is R2 and RMSE good measures of success for overfitting?

Context: I'm currently crafting and comparing machine learning models to predict housing data. I have around 32000 data points, 42 features, and I'm predicting housing price. I'm comparing Random ...
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1answer
138 views

Pearson correlation with data sets that have values on different scales [closed]

I have two datasets with which I want to do a Pearson correlation analysis. I have carried out the analysis which makes sense, however I want to be sure it is valid given that both datasets have ...
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1answer
50 views

How to interpret Low Pearson correlation coefficient between stable signals and high Pearson correlation coefficient between unstable signals?

I calculated the Pearson correlation coefficient between two signals, that described the state of the unit. During normal operation of the unit, both signals were fairly stable and fluctuated very ...
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1answer
41 views

What statistical method should i use to find Correlation between number of days and AmountEarned

I am new to Data Science and I have a python data frame with Number of days, CountofJobs, and AmountEarned what statistical method should I use to find a correlation between Days and AmountEarned. <...
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1answer
31 views

Determine relationship between users and age?

I would like to understand how to find an association between users, spam and email's age. My dataset looks like as follows: ...
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what is the difference in terms namely Correlation, correlated and collinearity?

A website says Correlation refers to an increase/decrease in a dependent variable with an increase/decrease in an independent variable. Collinearity refers to two or more independent variables acting ...
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What is the meaning of a quadratic relation when r = 0?

A website (on page 4) says: The correlation coefficient is a measure of linear relationship and thus a value of r = 0 does not imply there is no relationship between the variables. For ...
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1answer
113 views

Does Karl Pearson correlation indicate linear relationship between two variables ? Or it indicates nonlinear relationship or simply the correlation?

Wikipedia and literature do not seem to convey correct interpretation of Karl Pearson correlation. A few authors interpret it as a linear correlation or association. To me it simply tells direction ...
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Professionals appear to interpret sample correlation (e.g. Karl Pearson) as if it represents linear correlation. Is it the correct interpretation? [closed]

I am stressed following the wrong interpretation. What is the correct way of understanding a correlation coefficient.
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Correlation coefficient and non linear association [closed]

Correlation and Linear Regression Author: Lisa Sullivan, PhD Professor of Biostatistics Boston University School of Public Health Says there may be non-linear association which the correlation ...
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1answer
91 views

Transforming negative correlated non linear variable to linear positive correlated variable

At my office, I am stuck in a weird situation. I am asked to perform a regression algorithm on the data, in which the target variable is continuous having values range between 0.6 to 0.9 with 8 digits ...
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1answer
444 views

Calibrating Correlation

I am facing a weird problem in my on going project and thought if someone here could help me out with this. Actually I have large data set. I have to perform a regression task on top of that. While ...
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Pearson vs Spearman vs Kendall

What are the characteristics of the three correlation coefficients and what are the comparisons of each of them/assumptions? Can somebody kindly take me through the concepts?
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1answer
148 views

Association between Categorical Variables and regression

We perform data analysis and build models. Say, for example, I built a regression model that has more than one predictor (multiple regression). We then check many things: normality, multicollinearity, ...