Hello,

Attached is a time series data that has a plot of the percentage of breakdowns on a scheduled hours across the days. The objective is to predict the value for the next day.

I tried to use linear regression to fit the data, but got a p-value higher than 0.05 and R square value less than 0.1. I also tried ploynomial regression but the got higher p-values.

Tried ARIMA but the RMSE was high.

Can someone advise me with the different options to fit the data ?

Attached is a time series data that has a plot of the percentage of breakdowns on a scheduled hours across the days. The objective is to predict the value for the next day.

I tried to use linear regression to fit the data, but got a p-value higher than 0.05 and R square value less than 0.1. I also tried ploynomial regression but the got higher p-values.

Tried ARIMA but the RMSE was high.

Can someone advise me with the different options to fit the data ?

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