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Problem 2: Data were collected on sulfur dioxide (SO2) in parts per billion (ppb) for a sample of 41 cities in the United States. In

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Problem 2: Data were collected on sulfur dioxide (SO2) in parts per billion (ppb) for a sample of 41 cities in the United States. In addition, the number of manufactures, population (in thousands) average annual temperature (degrees Fahrenheit), average wind (miles per hour), average annual precipitation (in inches), and average days of precipitation were recorded for each city. The objective is to determine which, if any, of these six explanatory variables help to predict sulfur dioxide. Step 1: Assess correlation among explanatory variables 1. Below is a scatterplot matrix showing only explanatory variables. Do you believe any explanatory variables are highly correlated with another? If so, which explanatory variables are highly correlated? Explain. Pollution in US cities 455565756 10 12 D1000 2500 10300 400 120 1000 2500 LLLLLLL manufact temperature wind population 2. The rest of the analysis was performed using only five explanatory variables: population, temperature, wind, precipitation in inches, and days of precipitation Why do you believe the variable number of manufacturers was removed? precipitation day precio Problem 2: Data were collected on sulfur dioxide (SO2) in parts per billion (ppb) for a sample of 41 cities in the United States. In addition, the number of manufactures, population (in thousands) average annual temperature (degrees Fahrenheit), average wind (miles per hour), average annual precipitation (in inches), and average days of precipitation were recorded for each city. The objective is to determine which, if any, of these six explanatory variables help to predict sulfur dioxide. Step 1: Assess correlation among explanatory variables 1. Below is a scatterplot matrix showing only explanatory variables. Do you believe any explanatory variables are highly correlated with another? If so, which explanatory variables are highly correlated? Explain. Pollution in US cities 455565756 10 12 D1000 2500 10300 400 120 1000 2500 LLLLLLL manufact temperature wind population 2. The rest of the analysis was performed using only five explanatory variables: population, temperature, wind, precipitation in inches, and days of precipitation Why do you believe the variable number of manufacturers was removed? precipitation day precio

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