Assume you have analyzed your time series data 3 different ways. Choose the forecasting method that shows the strongest relationship between input and output.

Select One:

a. After lagging your data set you utilize an autoregressive model resulting in r-squared = 0.75

b. After utilizing a moving average model you calculate a correlation coefficient = 0.80

c. Using the exponential smoothing model your coefficient of determination = 0.70

d. Utilizing your process knowledge you perform a regression analysis with one input resulting in a negative correlation coefficient ( -0.80)

Which choice represents the strongest linear correlation?

Select one:

a. r = 0.1

b. r = 0.8

c. r = 0

d. r = -1

Choose the most appropriate answer to fill-in the blank. If x (input) and y (output) have a strong negative linear correlation the value of "r" the correlation coefficient_______.

a. gets closer to 0

b. gets closer to -1

c. stays the same

d. gets closer to +1