# Question An economist estimated a linear relationship between the daily consumption of electricity for a region in megawatt-hours and the maximum daily temperature in degrees Celsius using daily data for December 2004 and January and February 2005 (n = 90). If the sums of squares of regression and the standard error of the estimate were found to be 918.13 and 3.17, respectively, determine the coefficient of determination. Answer as percentage correct to two decimal places. YCBQAI The Asker · Probability and Statistics

An economist estimated a linear relationship between the daily consumption of electricity for a region in megawatt-hours and the maximum daily temperature in degrees Celsius using daily data for December 2004 and January and February 2005 (n = 90). If the sums of squares of regression and the standard error of the estimate were found to be 918.13 and 3.17, respectively, determine the coefficient of determination. Answer as percentage correct to two decimal places.

Transcribed Image Text: An economist estimated a linear relationship between the daily consumption of electricity for a region in megawatt-hours and the maximum daily temperature in degrees Celsius using daily data for December 2004 and January and February 2005 (n = 90). If the sums of squares of regression and the standard error of the estimate were found to be 918.13 and 3.17, respectively, determine the coefficient of determination. Answer as percentage correct to two decimal places.
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Transcribed Image Text: An economist estimated a linear relationship between the daily consumption of electricity for a region in megawatt-hours and the maximum daily temperature in degrees Celsius using daily data for December 2004 and January and February 2005 (n = 90). If the sums of squares of regression and the standard error of the estimate were found to be 918.13 and 3.17, respectively, determine the coefficient of determination. Answer as percentage correct to two decimal places.