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The table below gives the list price and the number of bids received for five randomly...

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.

price in dollars 23 34 44 46 50

number of bids 1 2 4 9 10

step one : find the estimated slope. round answerv to three decimal places

step two: find the estimated y-intercept, round your answer to three decimal places

step 3: find the value of the coefficient determination round to three decimals places

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Answer #1

(AT) 268.9600 29.1600 21.1600 43.5600 112.3600 475.2000 (y-y) 17.6400 10.2400 1.4400 14.4400 23.0400 66.8000 (x-x)(y-y 68.8800 17.2800 5.5200 25.0800 50.8800 156.6000 S.No X-X 23 2 34 2 4 4 50 197 39.4000 10 26 5.2000 Total Mean SSY sample size here 5.2000 39.4000 from above 475.2000 156.6000 slope- 0.3295 intercept- y-B1た 7.7841 hence line equation: 7.784 0.330 X correlation coefficient rS(VsSy - 0.879

step 1: estimated slope b1=0.330

step 2: y intercept =-7.784

step 3: coefficient determination =r2 =0.773

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