In a simple linear regression study between two variables x ( the independent variable) and y (the dependent variable), a random large sample is collected and the coefficient of correlation r = −.98 is calculated. Which of the following conclusion may be made? Which is right choice. A) x and y are almost perfectly correlated, and y increases as x is increased.
B) x and y are moderately correlated, and y increases as x is increased.
C) x and y are almost perfectly correlated, and y decreases as x is increased.
D) x and y are very poorly correlated since r close to -1.

- "runner b is moving at a slower rate."

- "the graphs shown are graphs of distance(km) against time(min).

the slopes of this graphs are are given by:

slope = (change in y)/(change in x)

= (change in distance)/(change in time)

this is the formula for finding the speed. so, the slope of these graphs represent the speed of the runner.

taking each division in the graph to represent 1 on both axis:

runner a ⇒ speed = (2-0)/(1-0)

= 2/1

= 2 km/min

runner b ⇒ speed = (3-0)/(3-0)

= 3/3

= 1 km/min

this shows that   runner b is moving at a slower rate."

10 b/c 5*2 =10

step-by-step explanation:

answer: 7

step-by-step explanation:

you have to put the graph on here with the question

step-by-step explanation: