The dataset contains 220 observations on the following 16 variables.

Age: Subject's age (in years) Smoke: Current smoking status, coded as No or Yes Quetelet: /(2)Weight/(Height2) Vitamin: Vitamin use: coded as 1=Regularly, 2=Occasionally, or 3=No Calories: Number of calories consumed per day Fat: Grams of fat consumed per day Fibre: Grams of fibre consumed per day Alcohol: Number of alcoholic drinks consumed per week Cholesterol: Cholesterol consumed (mg per day) BetaDiet: Dietary beta-carotene consumed (mcg per day) RetinolDiet: Dietary retinol consumed (mcg per day) BetaPlasma: Plasma beta-carotene (ng/ml) RetinolPlasma: Plasma retinol (ng/ml) Sex: Coded as Female or Male SmokeHistory: Smoking history, coded as Never, Former, or Current Country: Country of residence, coded as UK: United Kingdom, US: USA, AU: Australia, EU: Europe, AS: Asia, SA: South and Central America

1)

Use the information about the vitamin use, the gender and age variables from your sample.

Is there a significant association between the vitamin use and the gender for the peoplewho are aged between 30 to 50?

What does being associated mean in this context? Interpret your findings.