The value of a bicycle was recorded over a period of five years. Based on how the plot of the residuals might look, would a linear function that passes through (0,250) and (4,25) be a good fit for the data shown? A) No, the residuals would tend to be one-sided.
B) No, the residuals would be randomly distributed.
C) Yes, the residuals would be randomly distributed.
D) Yes, the residuals would tend to be one-sided.

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D) Yes, the residuals would tend to be one-sided.

Step-by-step explanation:

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his chances of getting a coin of higher value is 4/19

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.