We give JMP output of regression analysis. Above output we give the regression model and the number of observations, n, used to perform the regression analysis under consideration. Using the model, sample size n, and output: Model: y = β0 + β1x1 + β2x2 + β3x3 + ε Sample size: n = 30

Summary of Fit
RSquare 0.956255
RSquare Adj 0.951207
Root Mean Square Error 0.240340
Mean of Response 8.382667
Observations (or Sum Wgts) 30

Analysis of Variance
Source df Sum of Squares Mean Square F Ratio
Model 3 32.829545 10.94320 189.4492
Error 26 1.501842 0.05780 Prob > F
C. Total 29 34.331387 <.0001*

Required:
Report the total variation, unexplained variation, and explained variation as shown on the output.

First, think of what you know. you know that the number t the end of the equation will need to be subtracted because it is the money he lost from buying the lawn mower. and your first two weeks have negative profit, so that tells you that c and d are wrong. now you can plug any of the weeks into a and b to see which one works. i'll start with plugging week 1 into a.this isn't right because it says your answer for week one should be -90.so now we need to try the same thing with b.this one got you the right answer, (sometimes if you only check with one of the weeks multiple will work so you need to check with more of the weeks, but it worked out fine here)this means that b is the correct answer.let me know if you need more clarification. i hope this : )