thanks a lot, I was unaware of how incredibly easy that is. this next one seems even more confusing to me though
Regression Analysis: Larvae versus Stumps The regression equation is Larvae = - 1.29 + 11.9 Stumps Predictor Coef SE Coef T P Constant -1.286 2.853 -0.45 0.657 Stumps 11.894 1.136 10.47 0.000 S = 6.41939 R-Sq = 83.9% R-Sq(adj) = 83.1% Analysis of Variance Source DF SS MS F P Regression 1 4514.4 4514.4 109.55 0.000 Residual Error 21 865.4 41.2 Total 22 5379.8 Unusual Observations Obs Stumps Larvae Fit SE Fit Residual St Resid 10 5.00 56.00 58.18 3.43 -2.18 -0.40 X X denotes an observation whose X value gives it large influence. How does the value of the Coefficient of Determination included in this
output compare with that in the previous question?
Based on the regression line obtained, predict the number of larvae clusters for a circular plot in which there were four stumps.