The scatter plot shows the average monthly temperature, x, and a family's monthly heating cost, y, for 23 different months.
(a) Write an approximate equation of the line of best fit for the data. It doesn't have to be the exact line of best fit.
(b) Using your equation from part (a), predict the monthly heating cost for a month with an average temperature of 35 °F.
Note that you can use the graphing tools to help you approximate the line.

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akposevictor akposevictor · Answer 1 · 2022-04-27T15:02:21+02:00

1. The equation of the line of best fit is: y = -1.15x + 102.8

2. Using the equation of the line of best fit, the predicted cost is: $62.55

The equation of a line of best fit is represented by the equation, y = mx + b, where m is the slope and b is the initial value.

1. Using two points, (72, 20) and (20, 80):

Slope (m) = change in y / change in x = (80 - 20)/(20 - 72) = 60/-52

Slope (m) = -1.15.

Substitute m = -3 and (a, b) = (72, 20) into y - b = m(x - a)

y - 20 = -1.15(x - 72)

y - 20 = -1.15x + 82.8

y = -1.15x + 82.8 + 20

y = -1.15x + 102.8

The equation of the best line of fit is y = -1.15x + 102.8.

2. Monthly heating cost, y, for a month with an average temperature of 35°F (x) will be calculated by substituting x = 35 into y = -1.15x + 102.8.

y = -1.15(35) + 102.8

y = 62.55

The predicted monthly cost is $62.55.

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