A bumper sticker company is developing a new line of stickers promoting local sports teams. To estimate demand, the company's marketing department conducted a phone survey of local households. In each call, residents were asked to provide the number of members in their household, x, as well as the number of cars, y.
The least squares regression line of this data set is:
y=0.335x+1.382

For each additional household member, the least squares regression line predicts that the household would have more cars.

PLZZ HAVE TEST TOMOROW ON THIS TOPIC AND I DONT UNDERSTAND IT

a = 3.14

b = 18

c = 18/5 or 3.6 or 3 3/5

step-by-step explanation:

55.44 inches

step-by-step explanation:

part a. assuming a perfectly linear relationship, we can find the slope from the first two data points.

slope = m = (change in rainfall)/(change in years)

= (61.80 -62.33)/(2005 -2004) = -0.53/1 = -0.53

then the point-slope form of the equation of the line can be written as

y = m(x -h) +k . . . . . m = -0.53, (h, k) = (0, 62.33)

y = -0.53x +62.33 . . . x = years after 2004

part b. in 2017, x = 2017 -2004 = 13. then the predicted rainfall is

y = -0.53·13 +62.33 = 55.44 . . inches

the predicted rainfall in 2017 is 55.44 in.

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