Answer Happy

To predict the occurrence of diabetes such that an appropriate prevention measure can be taken beforehand, the medical history data of the patient have been collected and summarized in Table Q2(c)(i), while Table Q2(c)(ii) presents the correlation coefficient between each variable. Table Q2(c)(i): The medical history data of patients Blood Pressure Body Mass Index Height Number Plasma of Times Glucose Pregnant Concentration 6 148 85 89 118 2 103 2 122 118 7 106 72 66 105 84 90 78 84 92 33.6 26.6 28.1 45.8 43.3 27.6 45.8 24.2 Diabetes Pedigree Function 0.627 0.351 0.167 0.551 0.381 0.512 0.551 0.235 1.57 1.71 1.80 1.75 1.62 1.65 1.55 1.70 Table Q2(c)(ii): The correlation coefficient between two variables Number Plasma of Times Glucose Pregnant Concentration 0.43 Blood Body Diabetes Height Pressure Mass Pedigree Index Function 0.03 -0.44 -0.07 -0.22 -0.34 0.29 0.82 -0.64 1 0.04 -0.63 0.44 Number of Times Pregnant Plasma Glucose Concentration Blood Pressure Body Mass Index Diabetes Pedigree Function Height 1 0.55 -0.38 -0.67 Please suggest THREE variables that are possible to remove from the prediction model. Justify your choice.