The table shows the relationship between time spent running and distance traveled. which type of model best describes the relationship? linear, because the r value for the linear model is closest to 1 exponential, because the r value for the exponential model is closest to 0 linear, because the rate of change between each pair of points is exactly 520 exponential, because the rate of change between each pair of points is 1.98

Linear, because the r value for the linear model is closest to 1

Step-by-step explanation:

Given is a table showing the relationship between time spent running and distance traveled

The table is plotted on the rectangular coordinate graph with time in x axis and distance in y axis.

The graph is enclosed below

The line exactly contains all the points and also we find that correlation coefficient for the data =1

This implies that there is a linear relationship between the two variables.  

Positive strong linear relationship exists.

Linear, because the r value for the linear model is closest to 1

is the right answer.

the smallest possible measurement of the width is 14 feet

step-by-step explanation:

let's assume length of parallelogram is 'l'

width of parallelogram is 'w'

the perimeter of a parallelogram must be no less than 40 feet

so, we get

we are given

length of parallelogram is 6 feet

so,

l=6

we can plug it

now, we can solve for w

subtract both sides by 12

divide both sides by 2

and we get

so,

the smallest possible measurement of the width is 14 feet