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Introduction: In the last 10 years we have heard a lot about the possibility of a "greenhouse effect" causing a global temperature increase. The greenhouse effect is the result of increased levels of carbon dioxide (CO2) in the atmosphere which could possibly be causing increased global temperatures. In this project, you will analyze temperature data for your local region and an outside region, and look for a possible trend. Procedure: 1. Go to internet. Find weather data for a major country nearest to where you live. Also, obtain weather data for a major country that is at least 500 miles away. 2. Find the data listed as annual temperature. Record the annual temperatures and the year in which the temperature was calculated for each of the two countries that you selected. Obtain 30 years' worth of data. Record this data. TEMPERATURE vs. YEAR - FIRST COUNTRY YEAR TEMP YEAR TEMP TEMPERATURE VS. YEAR - SECOND COUNTRY YEAR TEMP YEAR TEMP For each of the two countries, construct a line graph which compares the annual temperature and the year for the 30 years' worth of data that you have Example: SAMPLE DATA TEMPERATURE VS. YEAR 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 YEAR TEMPERATURE VS YEAR CITY TEMP YEAR TEMPERATURE VS. YEAR CITY. TEMP YEAR NAME OF CITY YEARS AVERAGE TEMPERATURE NAME OF CITY YEAR AVERAGE TEMPERATURE 5. Construct a line graph similar to the graph of step 2, except use five year averages instead of yearly averages. Do this for both cities. Example: The following three averages were obtained from the sample data given previously. SAMPLE DATA YEARS AVERAGE TEMPERATURE 46.83 1956 - 1960 1961 - 1965 50.66 1966 - 1970 47.08 AVERAGE TEMPERATUR ES (SAMPLE) 60 TEMPERAT URE 1966-1970 40 1956-1960 1961-1965 FIVE-YEAR PER IO DS AV ERAGE TEM F'ERATURE 2 TEMPERATU FIVE-YEAR PERIODS AVERAGE TEMPERATURES TEMPERAT FIVE VEAR PERIODG Introduction: In the last 10 years we have heard a lot about the possibility of a "greenhouse effect" causing a global temperature increase. The greenhouse effect is the result of increased levels of carbon dioxide (CO2) in the atmosphere which could possibly be causing increased global temperatures. In this project, you will analyze temperature data for your local region and an outside region, and look for a possible trend. Procedure: 1. Go to internet. Find weather data for a major country nearest to where you live. Also, obtain weather data for a major country that is at least 500 miles away. 2. Find the data listed as annual temperature. Record the annual temperatures and the year in which the temperature was calculated for each of the two countries that you selected. Obtain 30 years' worth of data. Record this data. TEMPERATURE vs. YEAR - FIRST COUNTRY YEAR TEMP YEAR TEMP TEMPERATURE VS. YEAR - SECOND COUNTRY YEAR TEMP YEAR TEMP For each of the two countries, construct a line graph which compares the annual temperature and the year for the 30 years' worth of data that you have Example: SAMPLE DATA TEMPERATURE VS. YEAR 1956 1957 1958 1959 1960 1961 1962 1963 1964 1965 1966 1967 1968 1969 1970 YEAR TEMPERATURE VS YEAR CITY TEMP YEAR TEMPERATURE VS. YEAR CITY. TEMP YEAR NAME OF CITY YEARS AVERAGE TEMPERATURE NAME OF CITY YEAR AVERAGE TEMPERATURE 5. Construct a line graph similar to the graph of step 2, except use five year averages instead of yearly averages. Do this for both cities. Example: The following three averages were obtained from the sample data given previously. SAMPLE DATA YEARS AVERAGE TEMPERATURE 46.83 1956 - 1960 1961 - 1965 50.66 1966 - 1970 47.08 AVERAGE TEMPERATUR ES (SAMPLE) 60 TEMPERAT URE 1966-1970 40 1956-1960 1961-1965 FIVE-YEAR PER IO DS AV ERAGE TEM F'ERATURE 2 TEMPERATU FIVE-YEAR PERIODS AVERAGE TEMPERATURES TEMPERAT FIVE VEAR PERIODG