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TABLE 14-9
You decide to predict gasoline prices in different cities and towns in the United States for your term project. Your dependent variable is price of gasoline per gallon and your explanatory variables are per capita income, the number of firms that manufacture automobile parts in and around the city, the number of new business starts in the last year, population density of the city, percentage of local taxes on gasoline, and the number of people using public transportation. You collected data of 32 cities and obtained a regression sum of squares SSR= 122.8821. Your computed value of standard error of the estimate is 1.9549.
-Referring to Table 14-9, if variables that measure the number of new business starts in the last year and population density of the city were removed from the multiple regression model, which of the following would be true?
Chronic Inflammation
A long-term inflammatory response that can negatively affect tissues and organs, leading to various diseases.
Cancer Risks
Factors that increase the likelihood of developing cancer, including genetics, lifestyle choices, and environmental exposures.
Environmental Exposure
The process of coming into contact with physical, chemical, or biological agents in the environment, potentially leading to adverse health effects.
Behavioral Risk
Behaviors that increase the likelihood of developing health problems or harm, such as smoking, poor diet, and physical inactivity.
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