With the use of R program describe the ralationship between the effect variables y1 and y2 in comparison to all relevant predictor variables: hosp, severity, age, sex, bmi, edu, smoke, alcohol, milk, ost, cvd, cancer, diab, partner, and city both individually and as a group (regression and multiple regression?). Give conclusion to your findings and a brief explanation of why you used each test in a separate word document using evidence to support your statements. Send both code file and word document to me.
Data is attached in the excel document (csv) together with the R assigment and example from the lectures in txt doc.
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23 | 24 | 25 | 26 | 27 | 28 | 1 |
2 | 3 | 4 | 5 | 6 | 7 | 8 |
9 | 10 | 11 | 12 | 13 | 14 | 15 |
16 | 17 | 18 | 19 | 20 | 21 | 22 |
23 | 24 | 25 | 26 | 27 | 28 | 29 |
30 | 31 | 1 | 2 | 3 | 4 | 5 |
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