The exponential regression function for the scatterplot without outliers is f(t) = 85.8507(0.56049)ª. The coefficient of determination is 0.976. The exponential regression function for the scatterplot with outliers is f(t) = 71.4094(0.60228)*. The coefficient of determination is 0.740. Which regression function is more appropriate for the data?
The exponential regression function for the scatterplot without outliers is f(t) = 85.8507(0.56049)ª. The coefficient of determination is 0.976. The exponential regression function for the scatterplot with outliers is f(t) = 71.4094(0.60228)*. The coefficient of determination is 0.740. Which regression function is more appropriate for the data?
The exponential regression function for the scatterplot without outliers is f(t) = 85.8507(0.56049)ª. The coefficient of determination is 0.976. The exponential regression function for the scatterplot with outliers is f(t) = 71.4094(0.60228)*. The coefficient of determination is 0.740. Which regression function is more appropriate for the data?
A. The function without outliers is better because the coefficient of determination value is closer to 1
B. The function with ouliers is better because the coefficient of determination value is closer to 1
C. The function without outliers is better because the coefficient of determination value is closer to 0
D. The function with outliers is better because the coefficient of determination value is closer to 0
Expression, rule, or law that gives the relationship between an independent variable and dependent variable. Some important types of functions are injective function, surjective function, polynomial function, and inverse function.
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