Vol. 7, Special Issue 6 (2019)
Trend analysis of weather variables of Raichur district of Karnataka: A time series framework
Author(s): Banashree B, Maraddi GN and Shanwad UK
Abstract: Trend analysis is a special case of regression analysis where the dependent variable is the variable to be forecasted and the independent variable is time. First step in assessing a trend is to plot the actual and observed data by year (or some other time period deemed appropriate). For the present study, the annual rainfall, annual maximum temperature and the annual minimum temperature of Raichur district for the year 1901 to 2015 was considered to examine the trend in the rainfall, maximum temperature and minimum temperature. The data is collected form IMD, India. The summary statistics and regression analysis revealed no significant trend in rainfall and temperature. In Regression analysis of rainfall data linear model was found to be the best fitat 5% level of significance, in case of maximum temperature cubic and quadratic model (5% level of significance) were found to be best and for minimum temperature cubic model (5% level of significance) found to be the best fit.
Pages: 97-103 | 548 Views 74 Downloads
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How to cite this article:
Banashree B, Maraddi GN and Shanwad UK. Trend analysis of weather variables of Raichur district of Karnataka: A time series framework. International Journal of Chemical Studies. 2019; 7(6): 97-103.
