Question

In simple linear regression, r ² is the _____.

	a.	coefficient of determination
	b.	coefficient of correlation
	c.	estimated regression equation
	d.	sum of the squared residuals

QUESTION 3

A least squares regression line ______.

	a.	may be used to predict a value of y if the corresponding x value is given
	b.	implies a cause-effect relationship between x and y
	c.	can only be determined if a good linear relationship exists between x and y
	d.	All of the answers are correct.

QUESTION 4

Regression analysis was applied between sales (in $1000s) and advertising (in $100s), and the following regression function was obtained.

​

= 80 + 6.2x

​

Based on the above estimated regression line, if advertising is $10,000, then the point estimate for sales (in dollars) is _____.

	a.	$700,000
	b.	$700
	c.	$142,000
	d.	$62,080

QUESTION 5

In a regression analysis, the variable that is used to predict the dependent variable ______.

	a.	is the dependent variable
	b.	must have the same units as the variable doing the predicting
	c.	usually is denoted by x
	d.	is the independent variable

QUESTION 6

The equation that describes how the dependent variable ( y) is related to the independent variable ( x) is called _____.

	a.	the correlation model
	b.	the regression model
	c.	correlation analysis
	d.	None of the answers is correct.

QUESTION 7

The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is called _____.

	a.	a prediction interval
	b.	the standard error
	c.	a residual
	d.	the variance

QUESTION 8

Regression analysis is a statistical procedure for developing a mathematical equation that describes how _____.

	a.	one independent and one or more dependent variables are related
	b.	several independent and several dependent variables are related
	c.	one dependent and one or more independent variables are related
	d.	None of the answers is correct

QUESTION 9

A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is ______.

	a.	the most squares method
	b.	the least squares method
	c.	correlation analysis
	d.	the mean squares method

Answer 1

2)

In simple linear regression, r ² is the

a.	coefficient of determination

3)

A least squares regression line _

a.	may be used to predict a value of y if the corresponding x value is given

4)

The equation of regression line is,

where

x = advertising

Given

X = $10,000,

The point estimate for sales (in dollars) is $62,080.

The correct option is

d.$62,080

5)

In a regression analysis, the variable that is used to predict the dependent variable

d.	is the independent variable

6)

The equation that describes how the dependent variable ( y) is related to the independent variable ( x) is called

b.	the regression model

7)

The difference between the observed value of the dependent variable and the value predicted by using the estimated regression equation is called

c.	a residual

8)

Regression analysis is a statistical procedure for developing a mathematical equation that describes how

c.	one dependent and one or more independent variables are related

9)

A procedure used for finding the equation of a straight line that provides the best approximation for the relationship between the independent and dependent variables is

b.	the least squares method