The bond behavior of inforcing bars is an important determina strength and stability. The article "Experimental Study on the Bond Behavior of Reinforcing Bars Embedded in Concrete Subjected to Lateral Pressure"+ reported the results of one experiment in which varying levels of lateral pressure were applied to 21 concrete cube specimens, each with an embedded 16 mm plain steel round bar, and the corresponding bond capacity was determined. Due to differing concrete cube strengths (fcur in MPa), the applied lateral pressure was equivalent to a fixed proportion of the specimen's fcu (0, 0.1fcu, 0.6f cu). Also, since bond strength can be heavily influenced by the specimen's fur bond capacity was expressed as the ratio of bond strength (MPa) to √ Pressure Ratio 0 0 0.1 0 0.123 0.100 0.101 0.172 Ratio Pressure 0.4 0.4 0.5 0.5 0.5 0.6 0.6 0.6 0.365 0.239 0.365 0.319 0.312 0.394 0.386 0.320 (a) Does a scatterplot of the data support the use of the simple linear regression model? OA scatterplot of the data shows a reasonably strong, positive, linear relationship between pressure and the bond capacity ratio and supports the use of a simple linear regression model. 0.1 0.1 0.133 A scatterplot of the data shows a weak, negative, linear relationship between pressure and the bond capacity ratio and supports the use of a simple linear regression model. A scatterplot of the data shows a reasonably strong, negative, linear relationship between pressure and the bond capacity ratio and supports the use of a simple linear regression model. Predictor Constant Pressure S = 0.0332397 A scatterplot of the data shows a weak, positive, linear relationship between pressure and the bond capacity ratio and does not support the use of a simple linear regression model. A scatterplot of the data shows a reasonably strong, negative, linear relationship between pressure and the bond capacity ratio and does not support the use of a simple linear regression model. (b) use the accompanying Minitab output to give point estimates of the slope and intercept of the population regression line. (Enter your answers to five decimal places.) The regression equation is Ratio = 0.101 + 0.461 Pressure T SE Coef 0.01308 0.03627 Analysis of Variance Source Regression Residual Error Total Coef 0.10121 0.46071 R-Sq= 89.5% 0.107 DF 0.3 0.3 0.3 0.4 0.2 0.2 0.2 0.217 0.172 0.151 0.263 0.227 0.252 0.310 1 19 20 SS 0.17830 0.02099 0.19929 7.74 12.70 R-Sq (adj) = 88.9% MS 0.17830 0.00110 F 161.37 P 0.000 0.000 P 0.000