Given the information below: A student wants to study whether there is any relationship between the amount of calories (C) consumed by the cattle and their weight (Y). He selects a random sample of 150 cattle and asks their caretakers about their calorie intake. Consider the following regression function: Yi=0+1c~i+[1(ciC~i)]+ui=0+1c~i+vi where vi=[1(cc~)]+ui and 0 and 1 denote the intercept and the slope coefficient on C~j, respectively. The population regression equation written in terms of C~j has an error term that contains the measurement error, the difference between Cl and Ci. Suppose the student discovers that the measured value, Ci, equals the actual, unmeasured value, Ci, plus a purely random component, wi. Suppose the variance of Ci(c2) and the variance of Wi(W2) are 0.15 and 0.07, respectively. Then under the classical measurement error model, as the sample size increases, the value to which the slope estimator will converge to is 1 Hint: Write your answer to three decimal places. Given the information below: A student wants to study whether there is any relationship between the amount of calories (C) consumed by the cattle and their weight (Y). He selects a random sample of 150 cattle and asks their caretakers about their calorie intake. Consider the following regression function: Yi=0+1c~i+[1(ciC~i)]+ui=0+1c~i+vi where vi=[1(cc~)]+ui and 0 and 1 denote the intercept and the slope coefficient on C~j, respectively. The population regression equation written in terms of C~j has an error term that contains the measurement error, the difference between Cl and Ci. Suppose the student discovers that the measured value, Ci, equals the actual, unmeasured value, Ci, plus a purely random component, wi. Suppose the variance of Ci(c2) and the variance of Wi(W2) are 0.15 and 0.07, respectively. Then under the classical measurement error model, as the sample size increases, the value to which the slope estimator will converge to is 1 Hint: Write your answer to three decimal places