After a transformation of the y-variable values into log y,and performing a regression analysis produced the following tables. For x₁= 10,the predicted value of y is ____________. A) 155.79 B) 1.25 C) 2.42 D) 189.06 E) 18.90

Question

Quizplus · Accepted Answer

From the second regression table, we can see that the coefficient of x₁ (i.e., the slope) is 0.4720. In the first regression table, we can find the intercept value -10.2039. Using these values and the given transformation (which is log(y)), we can calculate the predicted value of log(y) as: log(y) = -10.2039 + 0.4720(x₁) = -10.2039 + 0.4720(10) = -5.5239 Therefore, the predicted value of y can be calculated by taking the antilog of -5.5239: y = antilog(-5.5239) = 189.06 (rounded to two decimal places). Therefore, the best choice is D, with the above explanation.

After a Transformation of the Y-Variable Values into Log Y,and