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Assessed Stata Assignment - Essay Example

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However, the ages of respondents is centred around 53 years. The respondents earn an average of GBP 563.31 with the lowest earning being GBP 83.62 while the highest earning…
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Assessed Stata Assignment
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34). The p-value for a test of differences between mean income by gender is 0.2346. This value is greater than the level of significance (0.05), consequently, we conclude that mean income does not differ by gender. Looking at the p-values, gender, Underweight, and ins_pain are not significant in predicting the number of visits to a healthcare facility. The rest of the variables are significant. Considering the coefficient sign, log(income) and remote have a negative effect on the number of visits.

Consequently, persons living in a remote area and those with high earnings visit healthcare facilities less frequently. The rest of the significant variables, age, insurance, and pain have a positive effect on number of visits. Considering the BMI categories in reference to normal weight. The following observations are made: The interaction between pain and insurance is low (16.88%), implying most persons with severe joint persons do not have private insurance, or private insurance companies are not willing to insure them.

The coefficient for pain gives the odds of visiting healthcare facilities among persons with severe joint pain. Persons with severe joint pain visit healthcare facilities at a higher frequency than those without

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