Find the estimated y-intercept(round to 3 decimal places), determine if the statement not all pointd predicted by the linear model fall on the same line is true or false, find estimate value of y when x=46, round 3 decimal places, determine the value of the dependent variable ^y at x=0, and find value of the coefficient of determination, round to 3 decimal places. Sorry so long but this problem is a monster and I am lost as usual.

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, y = bo + bjx, 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. Price in Dollars Number of Bids Table Copy Data Step 1 of 6: Find the estimated slope. Round your answer to three decimal places