17.21 Interpret the results.
Refer to the previous exercise. The researchers also reported odds ratios with 95% confidence intervals for this logistic regression model. Here is a summary:
Explanatory variable |
95% confidence limits | ||
Odds ratio | Lower | Upper | |
Reader age | 1.65 | 1.27 | 2.16 |
Model sex | 3.70 | 2.74 | 5.01 |
Men's magazines | 0.96 | 0.67 | 1.37 |
Women's magazines | 1.57 | 1.11 | 2.23 |
17.21
(a) If the confidence interval for the odds ratio includes the value 1, the variable is not significant in a logistic regression. (b) Because the Reader age, Model sex, and Women's magazines intervals all do not contain 1, they are all significant. The Men's magazine interval contains 1 and is not significant. (c) Interpreting only significant effects: When the reader age is mature adults, the model clothing is 1.27 to 2.16 times more likely to be not sexual. When the model sex is male, the model clothing is 2.74 to 5.01 times more likely to be not sexual. When the intended readership is women, the model clothing is 1.11 to 2.23 times more likely to be not sexual. The odds ratios are often much easier to interpret than the fitted coefficients.