Question

1. The β ₁ term indicates

	a.	the Y value for a given value of X.
	b.	the average change in Y for a unit change in X.
	c.	the Y value when X equals zero.
	d.	the change in observed X for a given change in Y.

What does regression analysis attempt to establish?

	a.	linearity in the relationship between independent variables
	b.	a mathematical relationship between a dependent variable, for which future values will be forecast, and one or more independent variables with known values
	c.	multicollinearity
	d.	linearity in the relationship between a dependent variable and a set of independent variables

1. R ² is also referred to as

	a.	regression sum of squares.
	b.	total sum of squares.
	c.	correlation coefficient.
	d.	coefficient of determination.

1. Regression analysis is a modeling technique

	a.	for examining linear trend data only.
	b.	for capturing uncertainty in predicted values of Y.
	c.	that assumes all data is normally distributed.
	d.	for analyzing the relationship between dependent and independent variables.

1. What goodness-of-fit measure is commonly used to evaluate a multiple regression function?

	a.	R2
	b.	adjusted R2
	c.	partial R2
	d.	total R2

1. How many independent variables are there i n simple regression analysis?

	a.	1
	b.	2
	c.	3
	d.	4

Answer 1

Ans:

1)The β ₁ term indicates the average change in Y for a unit change in X.

2)Regression analysis attempt to establish

linearity in the relationship between a dependent variable and a set of independent variables

3)R ² is also referred to as coefficient of determination.

4)Regression analysis is a modeling technique for analyzing the relationship between dependent and independent variables.

5)goodness-of-fit measure is commonly used to evaluate a multiple regression function is

R^2

Option a is correct.

6) Number of independent variables are there in simple regression analysis=1

Option a is correct.