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Zoology Publications from Victoria University of Wellington—Nos. 42 to 46
Statistical analysis—Temperature and growth correlation
Statistical analysis—Temperature and growth correlation
The data obtained from the samples were analysed (Figs. 2-5) to determine if there were a relationship between temperature and three characteristic stem structures, namely, gonangia, terminal buds and axillary branches. Figure 2 expresses the relationship between temperature and gonangia. The Regression Curve equation
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using the method of Heine (1966) is: Y = mX + c. The value of m = −0.45 and the value of c = 7.9. Therefore, Y = 7.9 − 0.45X. The correlation coefficient (r) for the gonangia is −0.94. Thus, the percentage of variability explained (r2) is 88%. Using a similar method, the percentage of variability explained for the terminal buds is 23% where Y = 121.28 − 5.56X, and for the branches 21.75% where Y = 83.62 − 4.73X. The same trend of increasing numbers of gongangia, etc., with decreasing temperature is seen using the simple graphic relationship for two variables (Figs. 3-5).
Fig. 2 1967 autumn-winter seasons. Gonangia plotted against temperature using the statistical method of least squares.
Fig. 3 1967 autumn-winter seasons. Correlation between the average number of gonangia per stem, and temperature.
using the method of Heine (1966) is: Y = mX + c. The value of m = −0.45 and the value of c = 7.9. Therefore, Y = 7.9 − 0.45X. The correlation coefficient (r) for the gonangia is −0.94. Thus, the percentage of variability explained (r2) is 88%. Using a similar method, the percentage of variability explained for the terminal buds is 23% where Y = 121.28 − 5.56X, and for the branches 21.75% where Y = 83.62 − 4.73X. The same trend of increasing numbers of gongangia, etc., with decreasing temperature is seen using the simple graphic relationship for two variables (Figs. 3-5).