In the model y = $\beta$₀ + $\beta$₁ln(x) + $\varepsilon$ , the predicted value is = b₀ + b₁ln(x). What is the impact of the estimated slope coefficient? A) b₁ measures the approximate change in when x increases by 1 unit. B) b₁× 0.01 measures the approximate change in when x increases by 1%. C) b1measures the approximate change in when x increases by 1%. D) b₁ × 100 measures the approximate change in when x increases by 1 unit.

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The Answer of In the model y = $\beta$₀ + $\beta$₁ln(x) + $\varepsilon$ , the predicted value is = b₀ + b₁ln(x). What is the impact of the estimated slope coefficient? A) b₁ measures the approximate change in when x increases by 1 unit. B) b₁× 0.01 measures the approximate change in when x increases by 1%. C) b1measures the approximate change in when x increases by 1%. D) b₁ × 100 measures the approximate change in when x increases by 1 unit.

In the Model Y = β\betaβ 0 β\betaβ 1ln(x) ε\varepsilonε , the Predicted Value Is = B0 + B1ln(x)

In the Model Y = $\beta$ ₀ $\beta$ ₁ln(x) $\varepsilon$ , the Predicted Value Is = B₀ + B₁ln(x)