Simple linear regression is one of the most often used tools for prediction of r

Question

Simple linear regression is one of the most often used tools for prediction of relationships between an independent and dependent variable. The regression formula provides a mechanism for predicting the value of a dependent variable for a given independent variable. Since it is a linear model, the important parameters or constants are the y-intercept, a, and the slope of the line, b (y = a + bx). Which of the following statements is wrong? (Select one statement)

A.) A one unit increase in x leads to an increase in y of a.

Explanation / Answer

Here regression equation is y=a+bx

No as we increase x by 1, y will increase to b and when x=0, y wil be equal to the intercept a.

Hence

A.) A one unit increase in x leads to an increase in y of a. is wrong statement.

Related Questions

Navigate

• Browse (All)
• Browse S
• Subjects

---

---

Integrity-first tutoring: explanations and feedback only — we do not complete graded work. Learn more.