The following trend equation is for a manufacturer of women's purses (in millions of purses) based on six years of quarterly data. Î = 2.15 + 1.32 The following table provides the seasonal factors for each quarter. Index 105.0 Quarter Q1 Q2 Q3 Q4 112.5 92.0 98.0 The seasonally adjusted forecast for the second quarter of the fifth year is o 15.35 29.15 O 6.8 O 25.91​

a

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.