Question

In: Statistics and Probability

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 25 32 36 40
Number of Bids 2 4 5 8 10

Table

Copy Data

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 if the statement "All points predicted by the linear model fall on the same line" is true or false.

Step 4 of 6: Find the estimated value of y when x=23. Round your answer to three decimal places.

Step 5 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 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

Solutions

Expert Solution

The statistical software output for this problem is :

Step - 1) Slope = 0.431

Step - 2) Y-intercept = -7.658

Step - 3) True

Step - 4) estimated value = 2.263

Step - 5)  the change in the dependent variable ˆy is = slope = 0.431

Step - 6) the coefficient of determination = 0.943


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