The correlation between agarwood formation size and the injection volume of fungal spores was statistically significant (p < 0.05). The regressed equation is y = 10.2 – 2.3x and the coefficient of determination (R2) is 0.76. What is the correlation coefficient (r) value for this relationship? a. r = – 0.76 b. r = 0.76 c. r = – 0.87 d. r = 0.87
The correlation between agarwood formation size and the injection volume of fungal spores was statistically significant (p < 0.05). The regressed equation is y = 10.2 – 2.3x and the coefficient of determination (R2) is 0.76. What is the correlation coefficient (r) value for this relationship? a. r = – 0.76 b. r = 0.76 c. r = – 0.87 d. r = 0.87
The correlation between agarwood formation size and the injection volume of fungal spores was statistically significant (p < 0.05). The regressed equation is y = 10.2 – 2.3x and the coefficient of determination (R2) is 0.76. What is the correlation coefficient (r) value for this relationship? a. r = – 0.76 b. r = 0.76 c. r = – 0.87 d. r = 0.87
The correlation between agarwood formation size and the injection volume of fungal spores was statistically significant (p < 0.05). The regressed equation is y = 10.2 – 2.3x and thecoefficient of determination (R2) is 0.76. What is the correlation coefficient (r) value for this relationship?
a.
r = – 0.76
b.
r = 0.76
c.
r = – 0.87
d.
r = 0.87
Definition Definition Statistical measure used to assess the strength and direction of relationships between two variables. Correlation coefficients range between -1 and 1. A coefficient value of 0 indicates that there is no relationship between the variables, whereas a -1 or 1 indicates that there is a perfect negative or positive correlation.
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