Linear Regression Analysis of Bike Sharing Data R Studio
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- čas přidán 29. 08. 2024
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The regression problem this investigation aims to explore is multilinear regression. Bike-sharing rental process is highly correlated to the environmental and seasonal settings. For instance, weather conditions, precipitation, day of week, season and other factors can affect the rental behaviours. We will attempt to fit a multiple linear regression model, then evaluate the adequacy of the fitted model and rebuild for a better model. We expect to see multilinear relationship between the total number of bike rental users and the variables of interest. The results of the investigation could be used to further predict bike rental daily users.
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