US Department of Transportation As part of a study on transportation safety, the US Department of Transportation collected data on the number of fatal accidents per 1000 licenses and the percentage of licensed drivers under the age of 21 in a sample of 42 cities. Data collected over a one-year period are shown in the table. Use regression to investigate the relationship between the number of fatal accidents and the percentage of drivers under the age of 21.Discuss your findings. What conclusions and recommendations can you derive from your analysis?Percent Under 21Fatal Accidents per 1000132.962120.70880.885121.652112. 091172.627183.8380.368131.14280.645 91.028162.801121.40591.433100.03990 .338111.849122.246142.855142.352111 .294174.182.19163.623152.62390.8358 0.82142.8981.267153.224101.014100.4 93141.443183.614101.926141.643162.9 43121.913152.814132.63490.926173.25 6

Step-by-step explanation:

WITH THE GIVEN DATA

A ) using regression to investigate the relationship between the number of fatal accidents and the percentage of drivers under the age pf 21

to fit into a regression line we must have ∝ and β

where β =   = 0.2871

and ∝ = y - βx   =  - 1.5974

regression line = ∝ + β * x

insert values into regression line equation

regression line = -1.5974 + 0.2871 * x

we can conclude that for every single unit of : x, y would be increased by 0.2871.  and intersection of x and y will be through =1.5974

B ) conclusion and recommendations can you derive from your analysis

it  can be  concluded that they are strongly positively correlated. There is strong and positive correlation between them. i.e the number of fatal accidents and the drivers under the age of 21

using the correlation coefficient  ( r ) =    = 0.8394

i think the answer is .36

step-by-step explanation:

what i did was only 2.88 divided by 8

answer: b.48 for

step-by-step explanation: