Question

PLEASE ANSWER CLEARLY

The earth's climate is getting warmer. The most common theory attributes the increase to atmospheric levels of carbon dioxide (CO2), a greenhouse gas. Here is a scatterplot showing the mean annual CO2 concentration in the atmosphere, measured in parts per million (ppm) at the top of Mauna Loa in Hawaii and the mean annual air temperature over both land and sea across the globe, in degrees Celsius for the years 1959 to 2011. Linear Regression Output Scatterplot of Temperature and CO2 levels Scatterlot Cos Temp CO2 Simple linear regression results: Dependent Variable: CO2 Independent Variable: Temp CO2 = 328.89416 + 89.419894 Temp Sample size: 53 R (correlation coefficient) = 0.9071534 R-sq = 0.82292744 5 320

Answer 1

a) Answer: b) As temperature increases, the CO2 level increases. The scatterplot shows a moderate increasing, linear trend.

b) Answer: b) For every additional one degree increase in the annual mean temperature, the predicted annual level of CO2 increases by 89.4 ppm.

c) Answer: b) The residual plot would be scattered around zero. This means the linear regression is appropriate for the data.

d) Answer: e) Scatterplot, residual plot, correlation value and R²