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Linear effect of dextrose and squared effect of starch was significant with P value ≤0.05.
Linear effect of starch and squared effect of dextrose was highly significant with P value ≤0.001.
Linear effect of dextrose and squared effect of starch was also significant with P value ≤0.05.
Similarly linear effect of yeast extract and squared effect of starch was significant with P value ≤0.05 and R2 value of 94.4%.
The experiments did clearly indicate that resistance forces involve no power of velocity greater than 2, and they provided good evidence that a velocity squared effect was dominant, even to the extent of masking any effect involving some other power.
Newton also managed to extract some highly qualified evidence that the velocity squared effect varies as the density of the fluid and the frontal area (that is, the square of the diameter) of spheres.
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The p-value for the squared effects is less than 0.05.
β11, β12, β13, and β14 are the quadratic coefficients showing the squared effects.
The bi is the regression coefficients for linear effects; bii is the regression coefficients for squared effects; bik is the regression coefficients for interaction effects, and xi is the coded experimental levels of the variables.
However, PTM and T exhibit a deeper influence than vt, according to the p-values withdrawn from the analysis, being the squared effects significant too, but more in case of the former ones.
Squared effects were included because of a likely trade-off between food abundance and accessibility on the one hand, and vegetation density and height on the other, which would result in curvilinear relationships peaking at intermediate values of predictor variables.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com