Logistic regression

Problem 2. The following results are from a prospective study that considered predictors of mammography use in women. The investigators used logistic regression to analyze their data. Table 3 Results of a logistic regression predicting annual mammography use Variable name Parameter estimate (std error) Significance value Family history-associated risk group .14 (.09) not sig. Age -.04 (.02) <0.05 Worry -.04 (.01) <0.05 Worryx family history-associated risk group -.05 (.02) <0.05 a. What is the odds ratio for getting a mammogram for every 10-year increase in age? b. What is(are) the odds ratio(s) for every 1-unit increase in worry? c. What is(are) the odds ratio(s) for having a positive family history? d. What is the predicted probability of getting a mammogram for a 50 years old woman with a family history risk group of 2 and worry level of 5?