How we check explain how and how can interpret (Find the attachment);1. Normality2. Correlation (This model is Quantitative) RANKCreated VariablesRegressionNew VariableLabelSource VariableX1X2bFunctionFractional Rank PercentPER001Fractional Rank Percent of X1Variables Entered/RemovedFractional Rank PercentPER002Fractional Rank Percent of X2VariablesVariablesX36Y1bFractional Rank PercentPERO03Fractional Rank Percent of X3ModelEnteredRemovedMethod1Х3, X1, X2bEnterFractional Rank PercentPY1Fractional Rank Percent of Y1a. Dependent Variable: Y1a. Mean rank of tied values is used for ties.b. All requested variables entered.b. Ranks are in ascending order.Model SummaryExploreAdjusted RSquareStd. Error ofthe EstimateModelRR Square1.478.229.2153.97213a. Predictors: (Constant), X3, X1, X2Case Processing SummaryCasesANOVAValidMissingTotalSum ofPercentPercentPercentModelSquaresdfMean SquareFSig.1Regression775.8833258.62816.392.000Pump Presure170100.0%0.0%170100.0%Residual2619.11916615.778Density170100.0%0.0%170100.0%Total3395.002169Viscosity170100.0%0.0%170100.0%a. Dependent Variable: Y1b. Predictors: (Constant), X3, X1, X2DescriptivesCoefficientsStatisticStd. ErrorStandardizedUnstandardized CoefficientsCoefficientsPump PresureMean18.3735.07043ModelStd. ErrorBetaSig.95% Confidence IntervalLower Bound18.2345(Constant)1-177.74960.845-2.921.004for MeanUpper Bound18.5126X1-870.352-.178-2.472.014X2111.90134.646.2733.230.0015% Trimmed Mean18.3660X32.278.820.2382.780.006Median18.0000a. Dependent Variable: Y1Variance.843Std. Deviation.91836Minimum16.00DescriptivesMaximum21.00Range5.00Interquartile Range1.00Descriptive StatisticsSkewness.536.186RangeMaximumNMinimumMeanStd. DeviationVarianceKurtosis.449.370Pump Presure1705.0016.0021.0018.3735.91836.843DensityMean1.7502.00084Density170.061.721.781.7502.01093.00095% Confidence IntervalLower Bound1.7486Viscosity1702.452.685.133.8696.46779.219for MeanUpper Bound1.751930# (%)17027.503.2030.7010.93414.4820520.0895% Trimmed Mean1.7502Valid N (listwise)170Median1.7500Variance.000Std. Deviation.01093PPlotMinimum1.72Maximum1.78Model DescriptionRange.06Model NameMOD_1Interquartile Range.02Series or Sequence1Pump PresureSkewness.008.1862DensityKurtosis.594.3703ViscosityViscosityMean3.8696.03588TransformationNone95% Confidence IntervalLower Bound3.7988Non-Seasonal Differencingfor MeanUpper Bound3.9405Seasonal Differencing5% Trimmed Mean3.8766Length of Seasonal PeriodNo periodicityMedian3.8400StandardizationNot appliedVariance.219DistributionТуреNormalStd. Deviation.46779LocationestimatedMinimum2.68ScaleestimatedMaximum5.13Fractional Rank Estimation MethodBlom'sRange2.45Rank Assigned to TiesMean rank of tied valuesInterquartile Range.52Applying the model specifications from MOD_1Skewness.042.186Kurtosis.344.370Case Processing SummaryPumpPresureTests of NormalityDensityViscosityKolmogorov-SmirnovSig.Shapiro-WilkSeries or Sequence Length170170170StatisticdfStatisticdfSig.Number of MissingUser-MissingPump Presure.299170.000.858170.000Values in the PlotSystem-MissingDensity.18517000.913170.000The cases are unweighted.Viscosity.114170.000.969170.001a. Lilliefors Significance CorrectionEstimated Distribution ParametersPumpPresureDensityViscosityNormal DistributionLocation18.37351.75023.8696Scale.91836.01093.46779The cases are unweighted.

The regression is a method of machine learning under subgroup Supervised Learning. The regression…

RANK Created Variables Regression Source Variable New Variable Label Function Fractional Rank Percent PER001 X1 Fractional Rank Percent of X1 Variables EnteredRemoved X2" x3 Fractional Rank Percent PER002 Fractional Rank Percent of X2 Variables Variables Removed Fractional Rank Percent PER003 Fractional Rank Percent of X3 Model Entered Method Y Fractional Rank Percent PY1 Fractional Rank Percent of Y1 X3, X1, X2 Enter a. Dependent Variable: Y1 a. Mean rank of tied values is used for ties. b. All requested variables entered. b. Ranks are in ascending order. Model Summary Explore Adjusted R Square Std. Error of the Estimate RSquare Model 11 478 229 215 3.97213 a. Predictors: (Constant), X3, X1, X2 Case Processing Summary Čases ANOVA Valid Missing Total Sum of Mean Square Si. .000 Percent Percent Percent Model Squares df F Regression 775.883 3 258.628 16.392 Pump Presure 170 100.0% 0.0% 170 100.0% Residual 2619.119 166 15.778 Density 170 100.0% 0.0% 170 100.0% Total 3395.002 169 Viscosity 170 100.0% 0.0% 170 100.0% a. Dependent Variable: Y1 b. Predictors: (Constant), X3, X1, X2 Descriptives Coefficients Standardized Coefficients Statistic Štd. Erron Unstandardized Coefficients Pump Presure Mean 18.3735 .07043 Model B Std. Error Beta Sig. 95% Confidence Interval for Mean Lower Bound 18.2345 (Constanty -177.749 60.845 2921 .004 -2.472 3.230 Upper Bound 18.5126 X1 870 352 178 014 X2 111.901 34.646 273 .001 5% Trimmed Mean 18.3660 X3 2.278 820 238 2.780 .006 Median 18.0000 a. Dependent Variable: Y1 Variance 843 Std. Deviation .91836 Minimum 16.00 Descriptives Maximum 21.00 Range Interquartile Range 5.00 1.00 Descriptive Statistics Skewness .536 .186 Range Minimum Maximum Mean Std. Deviation Variance Kurtosis 449 370 Pump Presure 170 5.00 16.00 21.00 18.3735 .91836 .843 Density Mean 1.7502 .00084 Density Viscosity 170 06 1.72 1.78 1.7502 .01093 000 95% Confidence Interval Lower Bound 1.7486 170 2,45 2.68 5.13 3.8696 46779 219 r Mean Upper Bound 1.7519 30# (%) 170 27.50 3.20 30.70 10.9341 4.48205 20.089 5% Trimmed Mean 1.7502 Valid N (listwise) 170 Median 1.7500 Variance .000 Std. Deviation .01093 PPlot Minimum 1.72 Maximum 1,78 Model Description Range .06 MOD 1 Pump Presure Model Name Interquartile Range .02 Series or Seguence Skewness .008 186 Density Kurtosis .594 370 3 Viscosity Viscosity Mean 3.8696 .03588 Transformation None 95% Confidence Interval for Mean Lower Bound 3.7988 Non-Seasonal Differencing Upper Bound 3.9405 Seasonal Differencing 5% Trimmed Mean 3.8766 Length of Seasonal Period No periodicity Median 3.8400 Standardization Not applied Variance 219 Distribution Туре Normal Std. Deviation 46779 Location estimated Minimum 2.68 Scale estimated Maximum 5.13 Fractional Rank Estimation Method Blom's Range 2.45 Rank Assigned to Ties Applying the model specifications from MOD_1 Mean rank of tied values Interquartile Range 52 Skewness .042 .186 Kurtosis 344 370 Case Processing Summary Pump Presure Tests of Normality Density Viscosity Kolmogorov-Smirnov Si. Shapiro-Wilk Series or Sequence Length 170 170 170 Statistic df Statistic df Si. Number of Missing Values in the Plot User-Missing Pump Presure 299 170 .000 858 170 .000 System-Missing Density 185 170 000 913 170 .000 The cases are unweighted. Viscosity 114 170 .000 969 170 001 a. Lilliefors Significance Correction Estimated Distribution Parameters Pump Presure Density Viscosity Normal Distribution Location 18.3735 1.7502 3.8696 Scale .91836 .01093 46779 The cases are unweighted.