An article presents the results of an experiment in which the surface roughness (in m) was measured for 15 D2 steel specimens and compared with the roughness predicted by a neural network model. The results are presented in the following table. TRUE Value (x) Predicted Value (y) 0.45 0.42 0.82 0.7 0.54 0.52 0.41 0.39 0.77 0.74 0.79 0.78 0.25 0.27 0.62 0.6 0.91 0.87 0.52 0.51 1.02 0.91 0.6 0.71 0.58 0.5 0.87 0.91 1.06 1.04 To check the accuracy of the prediction method, the linear model y=Bo+x+ is fit. If the prediction method is accurate, the value of Bo will be 0 and the value of B, will be 1. Note that this question is a continuation of a previous question utilizing the same data. Can you reject the null hypothesis Ho: Bo 0? Find the P-value and state a conclusion. Since Select | D Question 4 it is [Select] that So 0- An article presents the results of an experiment in which the surface roughness (in m) was measured for 15 D2 steel specimens and compared with the roughness predicted by a neural network model. The results are presented in the following table. TRUE Value (x) Predicted Value (y) 0.45 0.42 0.82 0.7 0.52 041 0.99 0.77 0.74 0.79 0.78 0.27 0.62 0.6 0.91 0.87 0.52 0.51 1.02 0.91 0.6 0.71 0.58 0.5 0.87 0.91 1.06 1.04 To check the accuracy of the prediction method, the linear model y = Bo+Bix + c is fit. If the prediction method is accurate, the value of o will be 0 and the value of B will be 1. Note that this question is a continuation of a previous question utilizing the same data. Can you reject the null hypothesis Ho: S = 1? Find the P-value and state a conclusion. Since Select it is [Select] that 5. 1. 1 pts