People Should Have More Kids To Strengthen Marriage

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1. Claim: People should have more kids to help strengthen marriage.
a. Having more kids decrease the chance of divorce. Having a smaller chance in divorce results in more kids. The chance of divorce does not cause more kids and more kids do not change the chance of divorce because there is a third variable that causes both.
b. A possible third variable is economic status. A family who has money is less stressed and does not have arguments about money. They can also afford to have and take care of more kids. They have more time to spend with their kids, so they have a stronger connection and would be more inclined to have more kids and less likely to get divorced. Divorce is also a costly process, so families who are poorer may not be able to …show more content…

The beta value for strength of marriage could be around 0.2. The value would be positive as it is believed that the stronger a marriage is, the more children a family would have. The number would likely be small however because many strong marriages choose not to have kids or only have one. At the same time, some people believe that kids may save a marriage, so an unhappy marriage may have more kids in an attempt to save the marriage. The beta value for economic status could be around 0.1. It is also positive because those with higher economic status are able to better afford for their kids and may be more likely to plan to have kids. However, I believe that the number would be small. Those with higher economic status are able to afford better medical treatment, which could include birth control and other means of contraception. People with a lower economic status so not have access the same medical treatments, so there could be more unplanned pregnancies. In general, there would be a slight positive correlation between economic status and number of kids as families are more likely to have more kids when they can afford everything that they would need for the …show more content…

For the number of lifetime partners, only two variables, BMI and appearance evaluation, were highly correlated. BMI is positively correlated to the number of lifetime partners, so the higher the BMI, the more sexual partners. On the other hand, appearance evaluation was negatively correlated. The higher the appearance evaluation, the smaller number of partners. The other independent variables are so loosely correlated that the negligent. This seems to be the opposite of the claim as better body image is more likely to decrease the number of partners, not increase. For lifetime unprotected sex, no variables seem to have any correlation. All numbers are statistically insignificant. The one interesting number is Age has a beta value of exactly 0, which means there is no correlation between age and unprotected sex, not even a minimal one. With alcohol use, there are two variables that are statistically significant and one that is close. The other variables are negligent as their p-value is too low. The variable that is close to statistically significant is age. It is positively correlated, so the older a person is, the more likely they are to use alcohol, which makes sense because of the drinking age. The two variables that are statistically significant are ethnicity and BMI. Ethnicity is a negative correlation, so European Americans and Latinos are more likely to engage in alcohol use. BMI is positively correlated, so as BMI increases, alcohol use

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