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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. y^=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 1 of 6: Find the estimated slope. Round your answer to three decimal places. Answertiow to enteryour enswer (opent in new winthow) 2 Points Table The table below gives the list price and the number of bids received for five tandomly selected items sold through online auctions: Using this data. consider the equation of the regression line, y^=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 yintercept. Round your answer to three decimal places. Answertow to enter your answer (lopens in new whindow) 2 Points 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^=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 3 of 6: Find the estimated value of y when x=144. Round your answer to three decimal places. Answer how to enteryour onwwe (opent in now minfow) 2 Points The table below gives the Iist price and the number of bids recelved for five randomly selected items sold through online auctions, Using this data, consider the equation of the regression line. y^=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 4 of 6: Substitute the values you found in steps 1 and 2 into the equation for the regression line to find the estimated inear model. According to this model. If the value of the independent variable is increased by one unit, then find the change in the dependent variable y^, Answer hiw to enteryour onswer (opens in new window) 2. Points. 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^=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 oppropriate to use the regression line to make a prediction if the correlation coefficient is not statistically significant. Step 5 of 6 : Find the error prediction when x=144. Round your answer to three decimal places. Answer Haw to entec your answer (opent in new window) Tne 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^=b0+b1x, for predicting the number of bids an item will recelve based on the list price. Keep in mind, the correlation coefficient may or may not be statistically stgnificant 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 6 of 6: Find the value of the coefficlent of determination. Round your answer to three decimal places. Answer how to enteryour answer fopens in now window) 2 Points