The aim of this analysis is to investigate factors associated with the outcome variable genrely $($which is a score for gender relations and relationship control $-$ where a high score indicates more progressive ideas on gender and more equitable relationships$).$Using the dataset and data variables, fit regression models to the data, using genrely as the outcome variable, in order to assess the effect of rhknow and hivknow on the scale, adjusting for other variables where appropriate.? Show that the assumptions required for the linear regression model do not hold for the response genrely, but if we carry out a square root transformation by generating the variable rootgenrely $(=$sqrt$($genrely$))$ then the assumptions do hold. When you investigate models for the new response you should repeat model selection procedures.

variable name type format variable label

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idnum int $\%12\mathrm{.}0$g Study identification number

q$104$ byte $\%10\mathrm{.}0$g member of clubs $/$ societies

q$106$ byte $\%10\mathrm{.}0$g active in church

q$107$ byte $\%10\mathrm{.}0$g earned money in last $12$ months

q$109$ byte $\%10\mathrm{.}0$g read newspaper in last week

q$110$ byte $\%10\mathrm{.}0$g listen to radio at least once a week

q$111$ byte $\%10\mathrm{.}0$g watch TV at least once a week

partevlf byte $\%8\mathrm{.}0$g partner ever in lifetime

pasxipv byte $\%8\mathrm{.}0$g more than one incident of ipv

ageyrs float $\%8\mathrm{.}2$f Exact age in years

chtswcsa byte $\%9\mathrm{.}0$g Childhood trauma, including child sexual assault

rhknow byte $\%9\mathrm{.}0$g Reproductive health knowledge score

hivknow byte $\%9\mathrm{.}0$g HIV knowledge Score

cesug byte $\%8\mathrm{.}0$g CES$-$D suggestive $=1/$ depressed$=2$

genrely float $\%9\mathrm{.}0$g gender relations and relationship control scale

sespc float $\%9\mathrm{.}0$g Socio$-$economic status score