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70 6 Regression7 ADD [FPROBABILITY=yes; TPROBABILITY=yes] ProductRegression analysisResponse variate: WaterFitted terms: Constant, ProductSummary of analysisSource d.f. s.s. m.s. v.r. F pr.Regression 1 1.270 1.2702 9.91 0.007Residual 15 1.922 0.1282Total 16 3.193 0.1995Change -1 -1.270 1.2702 9.91 0.007Percentage variance accounted for 35.8Standard error of observations is estimated to be 0.358.Message: the following units have large standardized residuals.Unit Response Residual16 4.488 2.31Message: the following units have high leverage.Unit Response Leverage2 2.828 0.273 2.891 0.25Estimates of parametersParameter estimate s.e. t(15) t pr.Constant 2.273 0.339 6.71
6.3 Multiple linear regression 71are already in the model. The best variate to add is Employ, and we will do that next.9 ADD [FPROBABILITY=yes; TPROBABILITY=yes] EmployRegression analysisResponse variate: WaterFitted terms: Constant, Product, EmploySummary of analysisSource d.f. s.s. m.s. v.r. F pr.Regression 2 1.833 0.91664 9.44 0.003Residual 14 1.359 0.09710Total 16 3.193 0.19954Change -1 -0.563 0.56310 5.80 0.030Percentage variance accounted for 51.3Standard error of observations is estimated to be 0.312.Message: the following units have high leverage.Unit Response Leverage1 3.067 0.5516 4.488 0.39Estimates of parametersParameter estimate s.e. t(14) t pr.Constant 4.60 1.01 4.55
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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
Page 24 and 25: 20 2 Data structuresThe factor Amou
Page 26 and 27: 22 2 Data structures2.3 Forming fac
Page 28 and 29: 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
Page 45 and 46: 4.3 Reading data from spreadsheet f
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 76 and 77: 72 6 RegressionChange -1 -0.184 0.1
Page 78 and 79: 74 6 Regression2 IMPORT 'C:/Program
Page 80 and 81: 76 6 Regression72 0.699 0.05295 1.1
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
Page 104 and 105: 100 8 Using commands with menus or
Page 106 and 107: 102 8 Using commands with menus or
Page 108 and 109: 9 Programs and proceduresThe standa
Page 110 and 111: 106 9 Programs and proceduresdescri
Page 112 and 113: 108 9 Programs and proceduresto fou
Page 114 and 115: 110 9 Programs and procedurescapita
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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