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The answer will depend on the level of statistical knowledge that you have and, unfortunately, we do not know that. The regression model is based on the assumption that the residuals [or errors] are independent and this is not true if autocorrelation is present. A simple solution is to use moving averages (MA). Other models, such as the autoregressive model (AR) or autoregressive integrated moving average model (ARIMA) can be used. Statistical software packages will include tests for the existence of autocorrelation and also applying one or more of these models to the data.
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What is durbin-Watson?
Durbin-Watson is a statistic that is used in regression analysis. Its main goal is to notate autocorrelation presences in prediction errors.
Positive and negative consequences of nationalism?
what are the positive and negative consequences of human actions on the ocean environment
Which reason best explains why these consequences have positive impacts on society?
the consequences discourage teens from stealing.
What is the meaning of coinsequence?
The consequences of coincidences
What are two possible consequences of cheating on an exam?
Two possible consequences of cheating on an exam are: Getting caught by the teacher Getting suspended or expelled
