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— In business, consumers interest, behavior, product
profits are the insights required to predict the future of business
with the current data or historical data. These insights can be
generated with the statistical techniques for the purpose of
forecasting. The statistical techniques can be evaluated for the
predictive model based on the requirements of the data. The
prediction and forecasting are done widely with time series data.
Most of the applications such as weather forecasting, finance and
stock market combine historical data with the current streaming
data for better accuracy. However the time series data is
analyzed with regression models. In this paper, linear regression
and support vector regression model is compared using the
training data set in order to use the correct model for better
prediction and accuracy.
Index Terms—regression, linear regression, support vector,
prediction, data analytics

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