Does myopia status predict sedentary hours per week after correcting for age in the population of young adult Australians?

Notes:

-You should only use the variables 'sed', 'myopia' and 'age'.

-Correcting for 'age' is just including 'age' in the regression model.When age is in the model all other variables are corrected for it.

-Do report the results of your descriptive analyses

oWell labelled graphs can be copied from R Commander

oSummary statistics and tables should be manually typed

oSummarise the main findings of your descriptive analyses in words and describe how these findings inform your expectations and interpretation of the more complex models.

-Do report the results of your statistical inference and/or regression models

oAny fitted regression models should be manually typed and described in the text.

oAny hypothesis tests should contain all relevant information (use the 5 step method to be sure)

oAny other results such as confidence intervals should be manually typed and described in the text.

oSummarise the main findings of your regression model and statistical inference in one or two paragraphs.

qumm-hwuld myopia sex age educ HVPA logHVPh sed yourID myopia male 27 less 2.4 0.33 17.9 19154464 normal male 29 completed tertiary 6.4 0.31 9.9 19154464 myopia male 25 less 0.3 0.59 19.2 19154464 normal female 27 less 5.7 0.76 12.7 19154464 myopia male 23 completed tertiary 0.4 0.40 12.6 19154464 myopia female 26 completed tertiary 2.0 0.30 3.7 19154464 normal female 23 completed secondary 4.3 0.63 3.4 19154464 normal male 30 completed secondary 3.3 0.53 3.5 19154464 normal female 26 less 3.2 0.91 14.2 19154464 myopia male 27 completed tertiary 17.9 1.25 10.5 19154464 myopia female 25 completed tertiary 1.1 0.04 10.5 19154464 normal female 25 completed tertiary 1.6 0.20 10.2 19154464 myopia female 31 completed tertiary 10.6 1.03 3.1 19154464 myopia female 27 completed tertiary 0.9 0.05 7.0 19154464 normal male 25 less 14.5 1.16 12.5 19154464