Professional basketball teams have 11 players per team. Salary is dependent upon their scoring average, measured in points per game. A least-squares regression line that describes the relationship between scoring average and salary for one professional basketball team is y-hat= 2,671,134.68 + 684,663.08x, where x is the player’s scoring
average and y is the player’s salary. The residuals for this regression are given in the graph below.
Is a line an appropriate model to use for these data? What information tells you this?
b) What is the value of the slope of the least-squares regression line? Interpret the slope in the context of this problem.
c) What is the predicted salary of the basketball player with 10.9 points per game?
d) Approximate the actual salary of the basketball player with 10.9 points per game.

6.9

step-by-step explanation:

simple math really

6 1/2 times 0.6 = 3.9

but if you are just doing 6 and not 6 1/2 then the answer is 3.6

x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x

step-by-step explanation:

last month maria hiked the 5-mile mountain trail a number of times and she hiked the 10-mile canal trail several times. let x represent the number of times she hiked the 5-mile trail, and let y represent the number of times she hiked the 10-mile trail. if she hiked a total of 90 miles, which equation can be used to find the number of times maria hiked each trail? x + y = 90 5x – 10y = 90 90 – 10y = 5x 90 + 10y = 5x

the answer is b.

step-by-step explanation:

i recommend you do what your heart desires. if you're attracted to the same gender, then you're attracted to the same gender. you can't determine what your heart wants.