The scatterplot below suggests a linear relationship between the age (in years) of an antique clock and its sale price (in euros) at auction. The data are age and sale price for 11 antique clocks sold at a recent auction. We fit the least-squares regression line to the model price = $\alpha$ + $\beta$ (age), where the deviations are assumed to be independent and Normally distributed, with mean 0 and standard deviation $\sigma$. A summary of the output is given. R² = 0.848 S = 33.1559 The approximate intercept of the least-squares regression line is: A)27.73. B)1.893. C)34.84. D)0.267.

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The Answer of The scatterplot below suggests a linear relationship between the age (in years) of an antique clock and its sale price (in euros) at auction. The data are age and sale price for 11 antique clocks sold at a recent auction. We fit the least-squares regression line to the model price = $\alpha$ + $\beta$ (age), where the deviations are assumed to be independent and Normally distributed, with mean 0 and standard deviation $\sigma$. A summary of the output is given. R² = 0.848 S = 33.1559 The approximate intercept of the least-squares regression line is: A)27.73. B)1.893. C)34.84. D)0.267.

The Scatterplot Below Suggests a Linear Relationship Between the Age α\alphaα

The Scatterplot Below Suggests a Linear Relationship Between the Age $\alpha$