The data below is from a small dataset in which the following information was recorded about every state in the USA from 2002 data:

Percentage of people in the state living below the poverty level

Birth rate 15 and 16 years old (per 1000 people)

Birth rate 17 and 18 years old (per 1000 people)

Here are the values for each of these three variables:

Percentage in poverty:

20.1, 7.1, 16.1, 14.9, 16.7, 8.8, 9.7, 10.3, 22, 16.2, 12.1, 10.3, 14.5, 12.4, 9.6, 12.2, 10.8, 14.7, 19.7, 11.2, 10.1, 11, 12.2, 9.2, 23.5, 9.4, 15.3, 9.6, 11.1, 5.3, 7.8, 25.3, 16.5, 12.6, 12, 11.5, 17.1, 11.2, 12.2, 10.6, 19.9, 14.5, 15.5, 17.4, 8.4, 10.3, 10.2, 12.5, 16.7, 8.5, 12.2

Birth rate 15-16

Birth rate 17-18

31.5, 18.9, 35, 31.6, 22.6, 26.2, 14.1, 24.7, 44.8, 23.2, 31.4, 17.7, 18.4, 23.4, 22.6, 16.4, 21.4, 26.5, 31.7, 11.9, 20, 12.5, 18, 14.2, 37.6, 22.2, 17.8, 18.3, 28, 8.1, 14.7, 37.8, 15.7, 28.6, 11.7, 20.1, 30.1, 18.2, 17.2, 19.6, 29.2, 17.3, 28.2, 38.2, 17.8, 10.4, 19, 16.8, 21.5, 15.9, 17.7

88.7, 73.7, 102.5, 101.7, 69.1, 79.1, 45.1, 77.8, 101.5, 78.4, 92.8, 66.4, 69.1, 70.5, 78.5, 55.4, 74.2, 84.8, 96.1, 45.2, 59.6, 39.6, 60.8, 47.3, 103.3, 76.6, 63.3, 64.2, 96.7, 39, 46.1, 99.5, 50.1, 89.3, 48.7, 69.4, 97.6, 64.8, 53.7, 59, 87.2, 67.8, 94.2, 104.3, 62.4, 44.4, 66, 57.6, 80.7, 57.1, 72.1

The first value in each variable represents a state. For example, the first value in each variable represents the state of Alabama which shows 20.1% of people living below the poverty line. In Alabama, the birth rate among 15-16s is 31.5 per 1000 people. The birth rate among 17-18 is 88.7 per 1000 people. The second number in each variable represents Alaska with values of 7.1, 18.9,

73.7 respectively.

You suspect that higher levels of poverty may contribute to higher birth rates among young people. You are also interested to see whether this changes as people get slightly older.

For this problem, you will generate two regression models.

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In the first one, you will create a regression model attempting to predict the birth rate among 15-16-year-olds based on poverty. That is, poverty level would be the explanatory variable, and birth rate would be the response variable.