BIOL 1050 Lecture Notes - Lecture 7: Global Warming, Rutabaga, Field Capacity
18 Jun 2017
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Graphs of yields of field crops, tomatoes, potatoes, cabbage and cauliflower over time, and cauliflower yields in relation to number of hot days. Correlation measures the intensity of an association between two variables and if this is stronger than chance alone. No cause and effect relationship is assumed (r values from. The value of the dependent variable can be predicted from the independent variable (r2 from 0 to 1. 0) From prof. bowley"s book a hitchikers guide to statistics in plant biology . The p value has to be below 0. 05 for the relationship to be significant (for the researcher to have confidence in the result) Independent variable days with rain ( or year: dependent variable marketable yield. For regression analysis the r2 value (coefficient of determination), indicates how much variation in the dependent variable is explained by the independent variable.
