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76 6 Regression72 0.699 0.05295 1.146 0.055100 1.398 0.051Estimates of parametersParameter estimate s.e. t(110) t pr.Constant 1.1066 0.0892 12.41
6.5 Regression with groups 77in line 8, is expanded by GenStat automatically to becomeWindsp + Rain + Windsp.RainSo we could have achieved exactly the same effect by specifyingTERMS Windsp + Rain + Windsp.Rainin line 8.The regression directives all have an option, FACTORIAL, which can be used to specifythe maximum order (that is, number of factors and/or variates) in the terms to be fittedin the analysis; the default is 3.Fitting Windsp in line 9 has given a single regression line, as usual. Adding the maineffect of the factor Rain, in line 10 below, will change the model so that there is adifferent intercept (i.e. constant) for each level of Rain. Finally, adding the interactionWindsp.Rain, in line 13, will give a different slope (i.e. regression coefficient) for eachlevel of Rain. So this will carry out an analysis of parallelism, going from a single line,to parallel lines and then finally to non-parallel lines.11 ADD [FPROBABILITY=yes; TPROBABILITY=yes] RainRegression analysisResponse variate: LogsulphurFitted terms: Constant + Windsp + RainSummary of analysisSourceRegressiond.f.2s.s.1.89m.s.0.9442v.r.6.64F pr.0.002Residual 109 15.50 0.1422Total 111 17.39 0.1567Change -1 -0.39 0.3933 2.77 0.099Percentage variance accounted for 9.2Standard error of observations is estimated to be 0.377.Message: the following units have high leverage.Unit Response Leverage30 0.477 0.10272 0.699 0.073Estimates of parametersParameter estimate s.e. t(109) t pr.Constant 1.1235 0.0891 12.62
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1.1 Menus and windows 3Figure 1.3Ot
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This opens the Working Directory me
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1.1 Menus and windows 7Figure 1.11
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1.1 Menus and windows 9Lower quarti
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to obtain some information about wh
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the help page about the command PRI
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1.3 Commands 15Figure 1.26In GenSta
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2 Data structuresIn this chapter yo
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20 2 Data structuresThe factor Amou
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22 2 Data structures2.3 Forming fac
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24 2 Data structuresYou can filter
Page 30 and 31: 26 3 Syntaxaltogether; default labe
Page 32 and 33: 28 3 SyntaxString tokens can always
Page 34 and 35: 30 3 Syntax3.3 PracticalUse the VAR
Page 36 and 37: 32 3 SyntaxPRINT [SERIAL=no] branch
Page 38 and 39: 34 3 Syntaxplaces in the GenStat la
Page 40: 36 3 Syntax(5) * (star) defines fac
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Page 47 and 48: 4.6 Practical 43GenStat adds by def
Page 49 and 50: 4.8 Custom output and captions 4513
Page 51 and 52: 5 Calculations and manipulationIn t
Page 53 and 54: 5.1 Calculations 49Most practical c
Page 55 and 56: SQRT(x) square root of x, for x 0.
Page 57 and 58: 5.1 Calculations 53pay1 pay2 pay3 p
Page 59 and 60: 5.2 Practical 55GenStat text struct
Page 61 and 62: 5.3 Subsets of data values 5750 " A
Page 63: 5.6 Practical 59Notice that any mis
Page 66 and 67: 62 6 Regressionwhere a can be inter
Page 68 and 69: 64 6 Regression2 2called the adjust
Page 70 and 71: 66 6 RegressionClicking on the Fitt
Page 72 and 73: 68 6 Regression6.2 PracticalAn abso
Page 74 and 75: 70 6 Regression7 ADD [FPROBABILITY=
Page 76 and 77: 72 6 RegressionChange -1 -0.184 0.1
Page 78 and 79: 74 6 Regression2 IMPORT 'C:/Program
Page 82 and 83: 78 6 Regressionallows you to choose
Page 84 and 85: 80 6 Regression15 RDISPLAY [PRINT=a
Page 86 and 87: 7 Analysis of varianceGenStat has v
Page 88 and 89: 84 7 Analysis of varianceterms for
Page 90 and 91: 86 7 Analysis of varianceGrand mean
Page 92 and 93: 88 7 Analysis of varianceThe Residu
Page 94 and 95: 90 7 Analysis of variance8 TREATMEN
Page 96 and 97: 92 7 Analysis of varianceto 20, and
Page 98 and 99: 94 7 Analysis of variance7.7 Split-
Page 100 and 101: 96 7 Analysis of varianceStandard e
Page 102 and 103: 8 Using commands with menus or spre
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Page 108 and 109: 9 Programs and proceduresThe standa
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Page 116 and 117: 112 9 Programs and procedures11 LIS
Page 118 and 119: 114 9 Programs and procedures9.7 Ot
Page 120 and 121: 10 Further informationGenStat has e
Page 122 and 123: 118 IndexGrouped data 73in regressi
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