1. The data contains global temperature anomalies (differences between the annual and mean 1901-2000 global temperature), as well as mean atmospheric CO₂ as measured from the Mauna Loa observatory in Hawaii between 1959 and 2019 also on Blackboard (regr.txt). Consider CO₂ as the independent variable and compute the regression equation and coefficient of determination. Test the null hypothesis that = 0. Compute the 95% confidence limits on the slope. What is the expected Temperature anomaly (with 95% confidence limits) for CO₂ = 450ppm? Plot the data along with the regression line.

Data:

Year Tanom CO2

1959 0.08 315.97

1960 0.05 316.91

1961 0.09 317.64

1962 0.11 318.45

1963 0.12 318.99

1964 -0.14 319.62

1965 -0.07 320.04

1966 -0.01 321.38

1967 0 322.16

1968 -0.03 323.04

1969 0.1 324.62

1970 0.06 325.68

1971 -0.07 326.32

1972 0.04 327.45

1973 0.19 329.68

1974 -0.06 330.18

1975 0.01 331.11

1976 -0.07 332.04

1977 0.21 333.83

1978 0.12 335.4

1979 0.23 336.84

1980 0.28 338.75

1981 0.32 340.11

1982 0.19 341.45

1983 0.36 343.05

1984 0.17 344.65

1985 0.16 346.12

1986 0.24 347.42

1987 0.38 349.19

1988 0.39 351.57

1989 0.29 353.12

1990 0.45 354.39

1991 0.39 355.61

1992 0.24 356.45

1993 0.28 357.1

1994 0.34 358.83

1995 0.47 360.82

1996 0.32 362.61

1997 0.51 363.73

1998 0.65 366.7

1999 0.44 368.38

2000 0.42 369.55

2001 0.57 371.14

2002 0.62 373.28

2003 0.64 375.8

2004 0.58 377.52

2005 0.67 379.8

2006 0.64 381.9

2007 0.62 383.79

2008 0.54 385.6

2009 0.64 387.43

2010 0.72 389.9

2011 0.58 391.65

2012 0.64 393.85

2013 0.67 396.52

2014 0.74 398.65

2015 0.93 400.83

2016 0.99 404.24

2017 0.91 406.55

2018 0.82 408.52

2019 0.95 411.44

Any help would be very appreciated since im lost on how to do this