In a simple regression analysis (where y is a dependent and x an independent variable), if the slope is positive, then it must be true that _____.

A) options:

	there is a positive correlation between x and y
	there is a negative correlation between x and y
	if x is increased, y must decrease
	None of the answers is correct.

B)

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

= 100 + 5x

Based on the above estimated regression line, if advertising is $20,000, then the point estimate for price (in dollars) is _____.

B options:

	$200,000
	$105,000
	$900,000
	$200

C)

Regression analysis was applied between House Price(in $1000s) and square footage of the house, and the following regression function was obtained.

= 100 + 5x

The above equation implies that an increase of _____.

C options:

	5 in square footage is associated with an increase of $1,000 in price
	1 in square footage is associated with an increase of $5,000 in price
	1 in square footage is associated with an increase of $56,000 in price
	$1 in square footage is associated with an increase of $5,000 in price

D)

In simple linear regression, r² is the _____.

D options:

	estimated regression equation
	coefficient of correlation
	sum of the squared residuals
	coefficient of determination

E)

Larger values of r² imply that the observations are more closely grouped about the _____.

E options:

	average value of the independent variables
	average value of the dependent variable
	least squares line
	origin

F)

In a regression analysis, if SSE = 500 and SSR = 300, then the coefficient of determination is _____.

F options:

	.600
	.166
	1.666
	.375