Multiple Regression Problem, Diabetes Data.
The independent variables are:VariableMeasurement DescriptionBMIContinuousBody Mass IndexBPContinuousSystolic Blood PressureLDLContinuousLow-Density lipoproteins, generally viewed as the badkindHDLContinuousHigh-Density lipoproteins, generally viewed as the goodkindTGContinuousTriglyceride levelSome basic summary statistics for the variables are given below.ColumnNMeanStd DevSum Minimum MaximumY442 152.1330 77.0930 67243.0025.00346.00BMI442 26.37584.4181 11658.1018.0042.20BP442 94.647013.8313 41834.0062.00133.00LDL442 115.4390 30.4131 51024.1041.60242.40HDL442 49.7885 12.9342 22006.5022.0099.00TG442 119.5580 71.0254 52844.9026.00448.99The regression model results are given below.Summary of FitRSquare0.4772RSquare Adj0.4712Root Mean SquareError56.0596Mean of Response152.1335Observations (or SumWats]442Analysis of VarianceSourceDFSum ofSquaresMean Square F RatioModel51250802.86250160.57 79.6012Error4361370206.263142.67 Prob > F<.0001C. Total4412621009.12Parameter EstimatesTermEstimateStd Errort RatioProb>|t) Std BetaIntercept -97.737428.2790-3.45620.00060LDL-0.10680.0923-1.15690.248-0.0421HDL-0.83620.2306-3.62560.0003-0.1403TG0.27270.04366.253<.0001BMI6.56310.71769.1465<.00010.3761BP1.03670.21704.7764$.00010.1860