find estimated slope, find the estimated y-intercept, find the estimated value of y when x=44, determine the value of the dependent variable ^y at x=0(b, b, x, or y), substitute the values you found in steps 1 and 2 into equation for regression line to find the estimated linear model, according to this model if the value of the independent variable is increased by one unit, then find the change in yhe dependent variable ^y, and find value of the coefficient of determination, round answer to three decimal places.

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 in Table V Copy Data Prev Step 1 of 6: Find the estimated slope. Round your answer to three decimal places