Simple linear regression statistics on time series data of average monthly temperatures in Calcutta, India. A positive slope and increasing trend line indicate a possibility of warming, a negative slope and decreasing trend line indicate cooling. A statistical validation of the model is necessary for the results to be of scientific value. Summary statistics of the samples used for the calculations are here. To convert the results in degrees of Fahrenheit, click here.

Jan | Feb | Mar | Apr | May | Jun | Jul | Aug | Sep | Oct | Nov | Dec | |
---|---|---|---|---|---|---|---|---|---|---|---|---|

Lower Bound | -0.53 | -0.69 | -0.12 | -0.33 | -0.75 | -0.39 | -0.29 | -0.14 | -0.28 | -0.51 | -0.69 | -0.57 |

Estimated Change | 0.28 | 0.25 | 0.70 | 0.53 | -0.11 | 0.37 | 0.21 | 0.32 | 0.12 | 0.02 | 0.07 | 0.10 |

Upper Bound | 1.09 | 1.19 | 1.51 | 1.39 | 0.53 | 1.14 | 0.71 | 0.77 | 0.51 | 0.56 | 0.83 | 0.78 |