For the past decade, rubber powder has been used in asphalt cement to Improve performance. An article includes a regress

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For The Past Decade Rubber Powder Has Been Used In Asphalt Cement To Improve Performance An Article Includes A Regress 1 (95.13 KiB) Viewed 16 times

For the past decade, rubber powder has been used in asphalt cement to Improve performance. An article includes a regression of y - axial strength (MPa) on x - cube strength (MPa) based on the following sample data: 112.3 97.0 92.7 86.0 102.0 99.2 95.8 103.5 89.0 86.7 73.0 67.5 59.4 57.4 48.7 IN USE SALT (a) Obtain the equation of the least squares line. (Round numerical values to four decimal places.) y = Interpret the slope. A one MPa Increase in cube strength is associated with an increase in the predicted axial strength equal to the slope. O A one MPa decrease in cube strength is associated with an increase in the predicted axial strength equal to the slope. O A one MPa decrease in axial strength is associated with an increase in the predicted cube strength equal to the slope. O A one MPa Increase in axlal strength is associated with an increase in the predicted cube strength equal to the slope. (b) Calculate the coefficient of determination. (Round your answer to four decimal places.) Interpret the coefficient of determination. The coefficient of determination is the number of the observed samples axial strength of asphalt that cannot be explained by variation in cube strength. The coefficient of determination is the number of the observed semples of axial strength of asphalt that can be explained by variation in cube strength. The coefficient of determination is the proportion of the observed variation in axlal strength of asphalt samples of this type that can be attributed to its linear relationship with cube strength. The cucfficiunil of determinalion is the proportion of the observed varialion in axial strength of asphall samples of this type Chal cannol be allributed to its linear Iclalionship with cute strength. (c) Calculate an estimate of the error standard deviation or in the simple linear regression model. (Round your answer to three decimal places.) MPa