In a study in central Florida 15 alligators were captured and two measurements w
ID: 3072274 • Letter: I
Question
In a study in central Florida 15 alligators were captured and two measurements were made on each of the alligators. The weight (in pounds) was recorded with the snout vent length (in inches - this is the distance between the back of the head to the end of the nose). We use this sample to fit a regression model in R, obtaining the following output: Call: LmCformula - logWeight - loglength, data - alligator) Residuals: Min 1Q Median 3Q Max -0.24348 -0.03186 0.03740 0.07727 0.12669 Coefficients: Estimate Std. Error t value Pr ltI) (Intercept) -8.4761 0.5007 -16.93 3.08e-10 Loglength 3.4311 0.1330 25.80 1.49e-12 Signif. codes: 0 * 0.001 0.01 0.050.11 Residual standard error: 0.1229 on 13 degrees of freedom Multiple R-squared: 0.9808, Adjusted R-squared: 0.9794 F-statistic: 665.8 on 1 and 13 DF, p-value: 1.495e-12 For every one unit increase in log snout vent length (logLength), the expected change in log weight (logWeight) is: The estimate of the standard deviation of the error term is:Explanation / Answer
from given output:
for every one unit increase in log snout....change in log weight (log weight) is 3.4311 (slope)
the estimate of the standard error of the error term is 0.1229