The scatter plot shows the relationship between the time t, in years after 1900, and the life expectancy, 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.

the answer is mp

step-by-step explanation:

answer: yes, since the line has a steeper rate of change than the exponential the y-values will be greater and they will only intersect one time.

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"we buried my cousin last summer. he was 32 when he hanged himself from a closet coat rack in the throes of alcoholism, the fourth of my blood relatives to die prematurely from this deadly disease. if america issued drinking licenses, those four men—including my father, who died at 54 of liver failure—might be alive today. that is a good example piece   some steps that are .

. writing something that happened to you

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step-by-step explanation: