Choose the correct answers: R Take Test Homework 4· -Module 7-2017SummerB-X | MR
ID: 3263956 • Letter: C
Question
Choose the correct answers:
R Take Test Homework 4· -Module 7-2017SummerB-X | MRM%20Assumptions%20R | G what does the equation of th + |mysucourses as O mvasucourses asuedu/webapps/assessmen take aunchis ?course assessment d-8381341 &course; a- 3570131&contentd; 159415781 &step; " Arizona State University Yves Dea d) ASU Home My ASU Colleges & Schools Map & Locations Contact Us Blackboard Home Courses Organizations Help W. P. Carey Honor Code Quiz Homework Solutions Moving to another question will save this response Question 1 of 12 Question 1 Week 1 Week 2 Week 3 Week 4 Week 5 Week 6 Week 7 QUIZZES EXAMS 2 points Saved Regression equations only represent linear trends in data. Choose the correct answer below. The statement is true O The statement is false. Regression equations never represent linear tends in the data. O The statement is false. After a regression equation is developed, it can be transformed to accommodate a trend in the data that is not linear O The statement is false. By using transformations of the variables, a regression equation can be used to model data with a trend that is not linear /> Moving to another question will save this response. Question 1 of 12 10:58 AM 7/19/2017 ^40) E eu]Explanation / Answer
Answe 1:
Option D is right.
In regression, a transformation to achieve linearity is a special kind of nonlinear transformation. It is a nonlinear transformation that increases the linear relationship between two variables.
Method Transformation(s) Regression equation Predicted value () Standard linear regression None y = b0 + b1x = b0 + b1x Exponential model Dependent variable = log(y) log(y) = b0 + b1x = 10b0 + b1x Quadratic model Dependent variable = sqrt(y) sqrt(y) = b0 + b1x = ( b0 + b1x )2 Reciprocal model Dependent variable = 1/y 1/y = b0 + b1x = 1 / ( b0 + b1x ) Logarithmic model Independent variable = log(x) y= b0 + b1log(x) = b0 + b1log(x) Power model Dependent variable = log(y)Independent variable = log(x) log(y)= b0 + b1log(x) = 10b0 + b1log(x)