The appropriate pattern for a residual plot is: 3) a funnel shape with the tapered end at the lower values. 0 b) a funnel shape with the tapered end at the higher values. 0 c) a random scatter centered at zero. 0 d) an overall parabolic shape. Medical researchers conducted a study designed to evaluate the relationship between blood pressure (y), and age (x). They proposed a linear model. A total of 123 individuals were randomly sampled, and blood pressure and age were recorded for each. The regression summary appears here: What is the fitted least-squares regression equation and what is the interpretation of the coefficient of determination? 3) The regression equation is Blood Pressure = 1.03 + 45.54 Age. 42% of the variability in the blood pressure is explained by the model. 0 b) The regression equation is Blood Pressure = 45.54 + 1.03 Age. 42% of the variability in the age is explained by the model. 0 c) The regression equation is Blood Pressure = 45.54 + 1.03 Age. 42% of the variability in the blood pressure is explained by the model. 0 d) The regression equation is Blood Pressure = 45.54 - 1.03 Age. 24% of the variability in the blood pressure is explained by the model. A researcher wants to study the relationship between the supply of such commodity, X and its price, Y (in $1005). He got the following information: 2x: 315, 2y: 164, ny=6620, f = 35, 2x2 = 11400, 2322 = 6250 Calculate Pearson correlation coefficient. 6) a) 0.80 O b) 0.19 O c) 0.94 Q d) 0.80 C) e) -0.97