So, I am working on a project for my business stats class. I have to use minitab for the project. My project is based around basic regressions. I have found an acceptable regression equation: regress c1 5 c3-c5 c19 c61. For the next part of the project, I need to find the value for c1. I have all other data, and do not know how to use what I found before to get c1. Here is the report I got for the equation above. If anyone can help, please do! I am a loss. Regression Analysis: CHEMP versus TAX, UNEMP, POP05, COLL, DEPLIB The regression equation is CHEMP = 3.28 - 0.000606 TAX - 0.775 UNEMP + 0.000004 POP05 + 0.279 COLL + 0.000030 DEPLIB Predictor Coef SE Coef T P Constant 3.282 1.641 2.00 0.051 TAX -0.0006064 0.0001199 -5.06 0.000 UNEMP -0.7754 0.1108 -7.00 0.000 POP05 0.00000364 0.00000074 4.90 0.000 COLL 0.27944 0.05347 5.23 0.000 DEPLIB 0.00003022 0.00002659 1.14 0.261 S = 1.20634 R-Sq = 90.5% R-Sq(adj) = 89.6% Analysis of Variance Source DF SS MS F P Regression 5 750.07 150.01 103.08 0.000 Residual Error 54 78.58 1.46 Total 59 828.65 Source DF Seq SS TAX 1 74.90 UNEMP 1 556.66 POP05 1 65.54 COLL 1 51.09 DEPLIB 1 1.88 Unusual Observations Obs TAX CHEMP Fit SE Fit Residual St Resid 31 4895 11.200 8.585 0.312 2.615 2.24R 47 11673 10.700 11.075 0.947 -0.375 -0.50 X 48 13817 8.800 7.510 0.807 1.290 1.44 X R denotes an observation with a large standardized residual. X denotes an observation whose X value gives it large leverage.
Good lord how can that ever be used in business? I thought the general rule of business was lie, cheat, steal, and repeat.
glad you could because i don't think i'd be way out of line in saying that there probably aren't that many active posters here who could.
so do i but not too many responded so that lead me to think that we don't know. take sicks post for example that's how i felt. i could be wrong obviously.
Haha I was kidding (somewhat). I knew the chances of someone knowing how to use that program was extremely low but I figured I'd post it anyways. In short, I agree with you.