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Microsoft Excel: Pearson's Correlation01:18

Microsoft Excel: Pearson's Correlation

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Microsoft Excel is a powerful tool for statistical analysis, including calculating Pearson's correlation coefficient, which measures the strength and direction of a linear relationship between two continuous variables. Pearson's correlation coefficient, often denoted as "r," ranges from -1 to 1. A value close to 1 indicates a strong positive correlation, meaning as one variable increases, the other does too. A value close to -1 indicates a strong negative correlation, implying...
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Correlations02:20

Correlations

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Correlation means that there is a relationship between two or more variables (such as ice cream consumption and crime), but this relationship does not necessarily imply cause and effect. When two variables are correlated, it simply means that as one variable changes, so does the other. We can measure correlation by calculating a statistic known as a correlation coefficient. A correlation coefficient is a number from -1 to +1 that indicates the strength and direction of the relationship between...
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Correlation and Causation01:27

Correlation and Causation

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Statistical tests can calculate whether there is a relationship, or correlation, between independent and dependent variables. An indirect relationship of the variables signifies a correlation, while a direct relationship shows causation. If it is determined that no connection exists between the variables, then the correlation is a coincidence.
Correlation versus Causation
If the dependent variable increases or decreases when the independent variable increases, there is a positive or negative...
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Correlation01:09

Correlation

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In statistics, two variables are said to be correlated if the values of one variable are associated with the other variable. Depending on the relationship between two variables, correlation can be of three types– positive correlation, negative correlation, and zero correlation.
Two variables, for example, a and b, are said to be positively correlated if both variables move in the same direction. In other words, a positive correlation exists between two variables, a and b, if:
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Viral Recombination00:57

Viral Recombination

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Cells are sometimes infected by more than one virus at once. When two viruses disassemble to expose their genomes for replication in the same cell, similar regions of their genomes can pair together and exchange sequences in a process called recombination. Alternatively, viruses with segmented genomes can swap segments in a process called reassortment.
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Estimación de la fracción de recombinación mediante correlación de Pearson

Chin-Sheng Teng1, Shizhong Xu2

  • 1Department of Statistics, University of California, Riverside, CA, 92521, USA.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik
|February 14, 2026
PubMed
Resumen
Este resumen es generado por máquina.

Un nuevo método de correlación de Pearson estima eficientemente las fracciones de recombinación en genomas de cultivos para generaciones avanzadas (Ft, t≥2). Este enfoque ofrece una alternativa más rápida y confiable para el mapeo genético y los programas de mejoramiento.

Palabras clave:
correlación de Pearsonfracción de recombinacióngeneraciones avanzadasmapeo genéticomejoramiento de cultivosgenómica computacionalgenética de plantas

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