(See Steps) The table below gives data on X = water content of snow on April 1 and Y = water yield in inches from April to July in the Snake River watershed
Question: The table below gives data on X = water content of snow on April 1 and Y = water yield in inches from April to July in the Snake River watershed in Wyoming. There are 17 cases, corresponding to the years 1919 to 1935.
| X | Y |
| 23.1 | 10.5 |
| 32.8 | 16.7 |
| 31.8 | 18.2 |
| 32.0 | 17.0 |
| 30.4 | 16.3 |
| 24.0 | 10.5 |
| 39.5 | 23.1 |
| 24.2 | 12.4 |
| 52.5 | 24.9 |
| 37.9 | 22.8 |
| 30.5 | 14.1 |
| 25.1 | 12.9 |
| 12.4 | 8.8 |
| 35.1 | 17.4 |
| 31.5 | 14.9 |
| 21.1 | 10.5 |
| 27.6 | 16.1 |
Presumably, if X = 0, then Y = 0, so it is reasonable to fit a line through the origin, (0,0).
- Make a scatter - plot of the above data and include the least squares regression line through the data points. [ HINT : Use MINITAB for this exercise. P aste the printout of the scatter-plot including the least squares regression line, as well as the MINITAB OUTPUT: the regression line; R – Sq; R – Sq (adj); Standard deviation, etc. on the space below. Otherwise, make the scatter-plot including the least squares regression line by hand in the space below.]
(b) From the MINITAB OUTPUT in question (a), write down the least squares regression line through the origin.
(c) Use your answer from part (a) to predict the yield Y for a year when the water content X is 40 inches.
(d) How much confidence do you have in the accuracy of your prediction from part (c)?
Deliverable: Word Document 