For car price and income, which variable is independent and which is dependent?

Question 1 options:

	Price is dependent and income is independent because the price one can pay for a car depends on the income.
	Both are independent.
	Both are dependent.
	Income is dependent and price is independent because the income of a household depends on the price of the car.

Question 2 (Mandatory) (10 points)

What is the value of the correlation coefficient for income vs. price?

Question 2 options:

	.617
	16.512
	.785
	It is not shown in the output.

Question 3 (Mandatory) (10 points)

What is the value for the coefficient of determination?

Question 3 options:

	.617
	It is not shown in the output.
	.785
	16.512

Question 4 (Mandatory) (10 points)

What is the equation of the best fit line? [Hint: Pay close attention to which value is the coefficient for x, and which is the constant term.]

Question 4 options:

	y= ,617x + .785
	y= 16.512x + .178
	y= .785x + .617
	y= .178x + 16.512

Question 5 (Mandatory) (10 points)

What does the sign of the slope indicate about the relationship between income and price?

Question 5 options:

	The slope is positive -- as income increases, price decreases.
	The slope is negative -- as income increases, price increases.
	The slope is negative -- as income increases, price decreases.
	The slope is positive -- as income increases, price increases.

Question 6 (Mandatory) (10 points)

What does the y-intercept (Constant) suggest?

Question 6 options:

	A household with an income of $0 will pay $16,512 for a car.
	A household with an income of $0 will pay $17,172 for a car.
	A household with an income of $16,512 will pay $0 for a car.
	The y-intercept isn't shown in the output.

Question 7 (Mandatory) (10 points)

What is the practical significance of the y-intercept?

Question 7 options:

	For each $1,000 the household income increases, the price paid for a car will go up by $178.
	For each $178 the household income increases, the price paid for a car will go up by $1000.
	None. Zero income doesn't have anything to do with the price of the car.
	While it is possible for a household to have $0 income, that value for income is outside the scope of the measured observations, which makes the interpretation of the y-intercept unreliable.

Question 8 (Mandatory) (10 points)

What is the predicted car price for a household with an income of $43,000?

Question 8 options:

	$ 22,000
	$49,000
	$ 24,159.67
	$2,159.67

Question 9 (Mandatory) (10 points)

What is the residual for a the car price of a household with an income of $43,000?

Question 9 options:

	$22,000
	- $2,159.67
	$49,000
	$24,159.67

Question 10 (Mandatory) (10 points)

The scatter plot appears to have a strong linear pattern, except for three points. Why are those three points not in line with the others? Choose the best answer.

Question 10 options:

	Those folks make a lot more money than the rest.
	While those people have higher incomes, they decided not to spend as much as they could have on a car.
	These people don't have very high incomes but decided to get an expensive car anyway.
	Those folks didn't spend very much on a car.

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