Help needed has to due with a graph Iris is calculating the relationship between the square feet of living space in a house and the property tax. She collected data on 8 houses in her neighborhood. Iris graphed the data using x as the square feet of living space in a house and y as the property tax on that house.

Which equation best fits Iris' data that describes the relationship between square feet of living space in a house and its property tax?

y=72x−0.6

y=0.6x−72

y=−0.6x−72

y=−72x−0.6

reduce the friction between its moving parts

step-by-step explanation:

in fact, by reducing the friction between the moving parts of the machine, it is possible to reduce the energy wasted due to this friction; therefore, more input energy is converted into useful work, and this will improve the efficiency of the machine.

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.