A study was done of 20 random individuals to ascertain the effect of personal characteristics on their Health Status, an index ranging from 0 to 10 with O being death and 10 peak health. The four predictor variables from individuals include: Comorbidities (think underlying conditions, ranging from 0 to 10), Income (measured in 1,000's of dollars), Age (in whole years), and Education Years (from 0 to 18 with 12 representing graduation from high school). The collected data are presented below: HEALTH STATUS COMOR- EDUCATION BIDITIES (0-10) (0-10) INCOME ($000) AGE YEARS (Years) (0-18) 868 8 1 41 35 15 2 26 29 12 2 35 33 16 7 4 45 62 15 9 718 3 52 57 18 0 19 24 13 1 13 22 12 6 3 7 30 10 7 47 2 46 39 41 11 5 33 12 2 67 49 16 7 22 43 12 9 1 80 47 17 10 0 38 37 15 41 4 6 27 44 14 9 33 55 10 5 6 7 3 433 32 47 13 9 23 10 63 51 12 8 59 57 14 Some analytical steps have already been taken and the results are shown next. If you find any information missing or needed, feel free to conduct that portion of the analysis to assist you in answering the subsequent questions. CORRELATION TABLE Health Education Status Income Age Comorbidities Years Health Status 1.0000 Income 0.1993 1.0000 Age -0.380 0.6922 1.0000 Comorbidities -0.955 -0.092 Education Years 0.4087 0.6657 0.4974 0.2967 1.0000 -0.354 1.0000 REGRESSION RESULTS COEFFICIENT ESTIMATES FULL MINUS MINUS MINUS VARIABLES MODEL EDUCATION AGE INCOME Intercept 8.9406 8.7990 8.9977 9.5065 Comorbidities -0.9452 -0.9375 -0.9050 -0.9149 Income 0.0084 0.0080 0.0133 Age 0.0136 0.0122 Education Years -0.0141 MEASURES R Square 0.92511 0.92503 0.92430 0.91179 Adjusted R Square 0.90514 0.91098 0.91540 0.90689 F-test p-value 2.87E-08 3.21E-09 2.97E-10 6.25E-11 1. Identify the equation of the full model. That is, put the model in equation form.