In: Statistics and Probability
A biologist looked at the relationship between number of seeds a plant produces and the percent of those seeds that sprout. The results of the survey are shown below.
Seeds Produced | 64 | 60 | 65 | 58 | 43 | 45 | 53 | 58 | 62 |
---|---|---|---|---|---|---|---|---|---|
Sprout Percent | 54 | 49 | 58.5 | 61 | 64.5 | 64.5 | 60.5 | 64 | 50 |
correlation coefficient r= | Sxy/(√Sxx*Syy) = | -0.67 |
test stat t= | r*(√(n-2)/(1-r2))= | -2.4012 |
P value = | 0.0474 |
There is statistically significant evidence to conclude that there is a correlation between the number of seeds that a plant produces and the percent of the seeds that sprout. Thus, the regression line is useful.
Coeffficient of determination R^2 =SSR/SST= | 0.45 |
There is a large variation in the percent of seeds that sprout, but if you only look at plants that produce a fixed number of seeds, this variation on average is reduced by 45%.
y^ =87.53+(-0.52)*x
predicted val=87.528+56*-0.515= | 59 |
For every additional seed that a plant produces, the chance for each of the seeds to sprout tends to decrease by 0.52 percent.
The y-intercept has no practical meaning for this study.