An article in Geography (July 1980) used regression to predict average annual rainfall levels in California. Data on the following variables were collected for 30 meteorological weather stations scattered throughout California. The following is the correlation matrix for annual precipitation and attributes of the weather stations. Distance is how far the weather station is from the coast in miles. The correlation between precipitation and Distance is -.210. The interpretation of this correlation is
| Annual Precip | Altitude | Latitude | Distance | Facing | |
| Annual Precip | 1.000 | ||||
| Altitude | 0.302 | 1.000 | |||
| Latitude | 0.577 | 0.231 | 1.000 | ||
| Distance | -0.210 | 0.574 | 0.161 | 1.000 | |
| Facing | 0.598 | 0.050 | -0.011 | -0.490 | 1.000 |
| A.
The greater the distance from the coast the smaller the correlation |
|
| B.
The greater the distance from the coast the smaller the annual precipitation |
|
| C. The greater the distance from the coast the larger the annual precipitation | |
| D.Distance and annual precipitation are not related |
The correlation coefficient between distance & precipitation is -0.210
The negative sign indicates that there is negative association between distance & precipitation i.e as distance increases ,the precipitation decreases & vice versa
Answer is " B"
The larger the distance from coast the smaller the precipitation
An article in Geography (July 1980) used regression to predict average annual rainfall levels in California....