Binary logistic regression model of watching all film and key social variables.
| Coefficients | Estimate | Std. Error | z value | Pr(>|z|) | OR | CI for OR 2.5% | 97.5% | |
|---|---|---|---|---|---|---|---|---|
| (Intercept) | 0.720 | 0.282 | 2.556 | 0.011 | * | 2.055 | 1.185 | 3.576 |
| Education | 0.302 | 0.042 | 7.128 | 0.000 | *** | 1.354 | 1.246 | 1.472 |
| Age | −0.162 | 0.025 | −6.464 | 0.000 | *** | 0.850 | 0.809 | 0.893 |
| Gender | −0.127 | 0.093 | −1.367 | 0.171 | 0.881 | 0.735 | 1.056 | |
| Location | −0.233 | 0.044 | −5.306 | 0.000 | *** | 0.792 | 0.727 | 0.863 |
| Income | 0.268 | 0.100 | 2.685 | 0.007 | ** | 1.307 | 1.075 | 1.589 |
| Statistical significance: ***0.000; **0.001; *0.01 |
| Coefficients | Estimate | Std. Error | z value | Pr(>|z|) | OR | CI for OR 2.5% | 97.5% | |
|---|---|---|---|---|---|---|---|---|
| (Intercept) | 0.720 | 0.282 | 2.556 | 0.011 | * | 2.055 | 1.185 | 3.576 |
| Education | 0.302 | 0.042 | 7.128 | 0.000 | *** | 1.354 | 1.246 | 1.472 |
| Age | −0.162 | 0.025 | −6.464 | 0.000 | *** | 0.850 | 0.809 | 0.893 |
| Gender | −0.127 | 0.093 | −1.367 | 0.171 | 0.881 | 0.735 | 1.056 | |
| Location | −0.233 | 0.044 | −5.306 | 0.000 | *** | 0.792 | 0.727 | 0.863 |
| Income | 0.268 | 0.100 | 2.685 | 0.007 | ** | 1.307 | 1.075 | 1.589 |
| Statistical significance: ***0.000; **0.001; *0.01 |
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