or
Read the following description of a data set.
On today's episode of Science Time with Baldwin, Baldwin demonstrates that walking speed affects how wet a person will get in the rain. He simulates walking through the rain at various speeds.
Baldwin keeps track of his walking speed (in meters per second), x. Next, he measures how wet he is by taking the difference of his weight before and after walking through the rain (in kilograms), y.
The least squares regression line of this data set is:
y=
–
0.674x+2.736
Complete the following sentence:
The least squares regression line predicts that a 1 meter per second increase in walking speed will cause a person to soak up
fewer kilograms of water
1 answer
The least squares regression line predicts that a 1 meter per second increase in walking speed will cause a person to soak up approximately 0.674 fewer kilograms of water.
1 answer