Question

The scatter plot shows the relationship between the time t, in years after 1900, and the life expectancy L. in years, at birth for a certain
country.

Which of the following statements best describes the data on the scatter plot?

a) The data on the scatterplot suggests a linear association that could be modeled by the function L(t) - 39.67t +0.37.
b) The data on the scatterplot suggests a linear association that could be modeled by the function L(t) = -0.24t+74.33
c) The data on the scatterplot suggests a linear association that could be modeled by the function L(t) -0.37t +39.67.
d) The data on the scatter plot does not suggest a linear association, so it cannot be modeled by a linear function.

Answer 1

Answer:

L (t) = 0.37t + 39.67

Step-by-step explanation:

I have this question

Answer 2

The scatter plot shows the relationship between the time t, in years after 1900, and the life expectancy L. in years, at birth for a certain country.

According to the given statements,

Statement(3):-

The data on the scatterplot suggests a linear association that could be modeled by the function L(t) -0.37t +39.67.

Therefore, Statement (3) is CORRECT.

Learn for more similar logical questions here: https://brainly.com/question/16915795