ecologists to identify regions of greatest species richness could have an impact

Question

ecologists to identify regions of greatest species richness could have an impact on the preservation of genetic diversity, a major objective of the World Conservation Strategy. A study used a sample of n 25 in the estimated regression equation 3.89 + 0.033X1 + 0.024x2 + 0.023x3-0.0080x4-0.13xs-0.7206 ecies richness, xi-watershed area, x2-shore width, x,-poor drainage % x4-water color total color units x5 sand %), and x6-alkalinity. The SSR and SSE have been calculated to be: ssR 812.5 25. of the variation in y can be explained by the model? R2 %, (Give your value in percent and round to two decimal places.) model utility F test. least one among 1, ' A is zero least one among A, , 5 is not zero test statistic value and obtain a p value. Round your test statistic to o dec mal places and your -value to four deamal places. Hint: You can use R to obtain the p value, p al·1 p f test stat, numerator d denominator p-value clusion in the problem context. Use = 0.05. reject Ho- There is significant evidence at least one explaatory variable is a significant predictor of species richness. Ho. There is no evidence at least one explanatory variable is a significant predictor of species richness. reject Ho- There is no evidence at least one explanatory variable is a significant predictor of species richness Ho. There is significant evidence at least one explanatory variable is a significant predictor of species richness. d to use the appropriate table in the Appendix of Tables to answer this question.

Explanation / Answer

R2 =SSR/(SSR+SSE)=812.5/(812.5+325)=71.43%

for hypothesis: 3rd option is correct

f =(SSR/(p))/(SSE/(n-p-1)) =(812.5/6)/(325/(25-6-1))=7.5

for above p value =0.0004

reject HO there is significant evidence .....

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