Description: Forest scientists are concerned with the decline in forest growth throughout the world. One aspect of this decline is the possible effect of emissions from coal-fired power plants. In particular, the scientists are interested in the pH level of the soil and the resulting impact on tree growth retardation. The scientists measure various aspects of growth associated with trees in a specified region and the soil pH in the same region. The scientists then want to determine impact on tree growth as the soil becomes
more acidic. An index of growth retardation is constructed from various measurements taken on the trees with a high value indicating greater retardation in tree growth. A lower value of soil pH indicates a more acidic soil. Twenty tree stands which are exposed to a particular power plant emissions are selected for study. The dataset UMFGrowthpH.txt contains the variables SoilpH and GrowRet. You are to build a linear
regression model predicting GrowRet from SoilpH.
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