this is math it is attached

this is math it is attached
Florida’s Changing Sea Level by Professor George A. Maul, Ph.D. Department of Marine and Environmental Systems, Florida Institute of Technology Report: (Annotated version) Key West has the distinction of being the Western Hemisphere’s longest sea level record. It dates back to 1846, and although it has several multi-year gaps, it shows a long-term trend of rising sea level of about +2 mm per year. Records such as those at Key West are a measure of the ocean’s surface relative to fixed survey points on land called benchmarks, and is titled relative sea level (RSL). Changing sea level is a study of the inter-annual trends calculated by a linear least-squares fit to monthly or annual means as shown below for Key West (data from the Permanent Service for Mean Sea Level). RSL is a combination of several factors including the rise or fall of the sea surface due to variations in salinity and/or temperature, vertical land motion, and changes in currents, winds, barometric pressure, bottom topography, long-period tides, etc. If the land is sinking, RSL will appear to be rising even if the water level isn’t changing height due to the other factors; similarly if the land is rising RSL will fall all other things being equal. However these very preliminary data paint a general picture for Florida and that is sea level has been rising steadily for at least 160 years, and will most likely continue to do so into the future. Whether or not the rate of rise changes in a changing climate is not known from these data. Year Height (mm) Year Height (mm) Year Height (mm) Year Height (mm) 1913 7025 1936 7076 1960 7124 1983 7159 1914 7013 1937 7094 1961 7111 1984 7162 1915 7013 1938 7053 1962 7125 1985 7165 1916 7025 1939 7063 1963 7089 1986 7198 1917 7043 1940 7033 1964 7046 1987 7174 1918 7016 1941 7046 1965 7086 1988 7156 1919 7016 1942 7092 1966 7113 1989 7131 1920 6991 1943 7088 1967 7116 1990 7150 1921 7034 1944 7086 1968 7080 1991 7219 1922 7022 1945 7061 1969 7107 1992 7202 1923 7000 1946 7107 1970 7107 1993 7195 1924 7003 1947 7136 1971 7113 1994 7196 1925 7009 1948 7162 1972 7150 1995 7209 1926 6991 1949 7096 1973 7189 1996 7140 1927 7027 1950 7091 1974 7153 1997 7183 1928 7007 1951 7082 1975 7168 1998 7178 1929 7022 1952 7102 1976 7104 1999 7231 1930 7031 1954 7091 1977 7125 2000 7211 1931 6988 1955 7095 1978 7150 2001 7172 1932 7034 1956 7092 1979 7144 2002 7206 1933 7066 1957 7116 1980 7156 2003 7182 1934 7022 1958 7102 1981 7147 2004 7188 1935 7052 1959 7107 1982 7159 2005 7215 After reading the article above, answer the following questions. Identify the explanatory and response variables. Construct a scatter plot of the dataset. What relationship is revealed by the scatter plot? Using technology, determine the linear correlation coefficient value. What type of correlation is present based on the r value? How strong does this correlation appear to be? Using technology, determine the linear regression equation. Using the linear regression equation, predict the sea level in Florida for the year 2010. Can we use the linear regression equation to predict sea level for 2050? Why/why not?