From the course: Practical Python for Time Series Analysis

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Interpret linear regression coefficients

Interpret linear regression coefficients - Python Tutorial

From the course: Practical Python for Time Series Analysis

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Interpret linear regression coefficients

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- [Instructor] You already know how to develop the steps to produce this table summary from the simple linear regression. Now it is time to interpret these numbers so that we can establish a measure for how much does the explanatory variable, the CPI, the inflation, influences on the target variable, the mortgage rate. The rules to interpret these numbers apply the same for any other simple linear regression, no matter which other data sets you apply the linear regression to. The first thing is to copy the sale of codes and bring it below, because in these results, there is not only one table, but many. To access them separately, we go to the tables. Since this is a list because of the first character that is a square bracket, we save it into the variable and then access the first result. The first measure to pay attention is the probability of the F statistics, which is the P-value. And if it is below 0.05, which in…

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