Consider the partial output below from a regression analysis relating the variables below:

• y = product supply (in thousands of units)
• x = unit price (in thousands of dollars)

	df	SS
Regression	1	358.689
Residual	40	7,055.262

	Coefficients	Standard Error
Intercept	50.056	2.858
x	0.1012	0.071

What has been the sample size for this problem?

For every increase of $1,000 in unit price, the supply ---Select--- increases decreases by units (round your answer to the nearest whole number).

(b)Compute the coefficient of determination. (Round your answer to four decimal places.)

Interpret its meaning. Be very specific. (Give your answer as a percent. Round your answer to two decimal places.)The value of the coefficient of determination tells us that % of the variability in --?-- x y has been explained by the least squares line.(c)Compute the coefficient of correlation. (Round your answer to four decimal places.)

Explain the relationship between supply and unit price.The coefficient of correlation is ---Select--- negative positive , indicating that as unit price increases, supply ---Select--- decreases increases .(f)Predict the supply (in units) when the unit price is $50,000. units