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 21 23 29 43 50 Number of Bids 1 2 4 5 7 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. 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 yˆ�^ at x=0.
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 21 23 29 43 50 Number of Bids 1 2 4 5 7 Step 1 of 6: Find the estimated slope. Round your answer to three decimal places. 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 yˆ�^ at x=0.
Chapter4: Linear Functions
Section: Chapter Questions
Problem 30PT: For the following exercises, use Table 4 which shows the percent of unemployed persons 25 years or...
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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
Price in Dollars | 21 | 23 | 29 | 43 | 50 |
---|---|---|---|---|---|
Number of Bids | 1 | 2 | 4 | 5 | 7 |
Step 1 of 6: Find the estimated slope. Round your answer to three decimal places.
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 yˆ�^ at x=0.
Step 4 of 6: According to the estimated linear model, if the value of the independent variable is increased by one unit, then the change in the dependent variable yˆ is given by?
Step 5 of 6: Determine if the statement "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.
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Step 1: Given information
VIEWStep 2: Calculate estimated slope
VIEWStep 3: Calculate estimated y-intercept
VIEWStep 4: Calculate value of the dependent variable at x=0
VIEWStep 5: Calculate change in dependent variable if independent variable increased by unit 1
VIEWStep 6: Determine statement true or false
VIEWStep 7: Calculate coefficient of determination
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