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7. Briefly describe a problem where linear regression might be of use. It should be an example with a continuous response variable and at least one continuous predictor. This may be an example you make up, or something you see in some published material or on the internet. Be sure to describe the response variable and predictor variable(s), and the substantive meaning of a linear relationship between them.

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Lets consider the air pollution level in a city. Its a continuous response variable and the predictors can be the number of vehicles running on the roads, the number of factories in the vicinity of the city, the amount of gaseous materials that come out of chiminies being a continuous variable. Number of trees in the city, being the another predictor. Area of the city can also be a predictor as larger the area lesser will be the pollution concentration. Area is also a continuous predictor.

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