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The Scatterplot Below Suggests a Linear Relationship Between the Age

Question 33

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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 = + (age) , where the deviations are assumed to be independent and Normally distributed, with mean 0 and standard deviation . A summary of the output is given.
R2 = 0.848
S = 33.1559 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 = <font face= symbol ></font> + <font face= symbol ></font> (age) , where the deviations are assumed to be independent and Normally distributed, with mean 0 and standard deviation <font face= symbol ></font>. A summary of the output is given. R<sup>2</sup> = 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 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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