Consider the following sample regressions for the linear and the logarithmic models. a. Justify which model fits

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Consider the following sample regressions for the linear and the logarithmic models.

Linear Logarithmic -5.6712 Intercept 6.7904 1.0607 NA х 10.5447* In(x) NA 2.4935 1.5231 Se R2 0.9341 0.8233 Adjusted R2


a. Justify which model fits the data best.

b. Use the selected model to predict y for x = 10.

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