The table below gives the list price and the number of bids received for five randomly selected items sold through onlin

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The table below gives the list price and the number of bids
received for five randomly selected items sold through online
auctions. Using this data, consider the equation of the regression
line, yˆ=b0+b1x , for predicting the number of bids an item
will receive based on the list price. Keep in mind, the correlation
coefficient may or may not be statistically significant for the
data given. Remember, in practice, it would not be appropriate to
use the regression line to make a prediction if the correlation
coefficient is not statistically significant.
Step 2 of 6:
Find the estimated y-intercept. Round your answer to three
decimal places.
Step 3 of 6:
Determine the value of the dependent
variable yˆy^ at x=0x=0.
Step 4 of 6:
Find the estimated value of y when x=46x=46.
Round your answer to three decimal places.
Step 5 of 6:
Determine if the statement "Not all points predicted by the
linear model fall on the same line" is true or false.
Step 6 of 6:
Find the value of the coefficient of determination. Round your
answer to three decimal places.