If I have an R squared value of 0.9, what are the different ways I can explain this value in words? Show me several sentences explaining this result please.
R squared measures the strength of the relationship between the model and the dependent variable.
R square = 0.9
R square tell us how much variation explained by the model.
90% variation explained the dependent variable by the model using an independent variable.
An R square value of 0.9, it means that 90 percent of the variation in the y data is due to variation in the x data.
R squared is the proportion of the variance in the dependent variable that is predictable from the independent variable.
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