stan_glm
family: gaussian [identity]
formula: carbon_dioxide_emissions_sum ~ year
observations: 29
predictors: 2
------
Median MAD_SD
(Intercept) -937530.5 37412.8
year 483.1 18.7
Auxiliary parameter(s):
Median MAD_SD
sigma 830.3 117.3
------
* For help interpreting the printed output see ?print.stanreg
* For info on the priors used see ?prior_summary.stanregModels
How much carbon dioxide is going to be in the air in 2050?
Model Definition
\[y_i = \beta_0 + \beta_1 x_{1,i} + \epsilon_i\]
with \(y = carbon\_dioxide\_emissions\), \(x_1 = year\), and \(\epsilon_i \sim N(0, \sigma^2)\).
Fitted Model
Plot
What is going to be the average land temperature in 2050?
Model Definition
\[y_i = \beta_0 + \beta_1 x_{1,i} + \epsilon_i\]
with \(y = average\_land\_temperature\), \(x_1 = year\), and \(\epsilon_i \sim N(0, \sigma^2)\).
Fitted Model
stan_glm
family: gaussian [identity]
formula: land_temperature_avg ~ year
observations: 24
predictors: 2
------
Median MAD_SD
(Intercept) -32.6 9.3
year 0.0 0.0
Auxiliary parameter(s):
Median MAD_SD
sigma 0.2 0.0
------
* For help interpreting the printed output see ?print.stanreg
* For info on the priors used see ?prior_summary.stanregPlot
