For the past year a manufacturing company has recorded the number of units produced (x)...

For the past year a manufacturing company has recorded the number of units produced (x) each week and the total production cost (y) for that week. The company intends to use this data to predict future costs.

For the circumstance described above, linear regression is more useful and accurate than the high-low method because:

1. It uses all the sets of data observed to calculate the line of best fit.

2. The coefficient of variation can estimate what percentage of x is due to a change in y.

3. Forecasts remain valid for values for x outside of the observed range.

Which of the above statements are true?