Question

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 Number of Bids24 227 532 634 739 8Step 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: Find the estimated value of y when x = 34. Round your answer to three decimal places.Step 4 of 6: Determine the value of the dependent variable yˆ at x = 0.Step 5 of 6: Substitute the values you found in steps 1 and 2 into the equation for the 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 the dependent variable yˆ.Step 6 of 6: Find the value of the coefficient of determination. Round your answer to three decimal places.

Answer 1

Answer:

Check the explanation

Step-by-step explanation:

After running regression analysis in the excel, we obtain the following regression output-

Kindly check the attached image below.

So regression equation is-

Y = -7.4027 + 0.2942 X

(A) Slope = 0.294

(B) Intercept = -7.403

(C) When X = 46, then Y = -7.4027 + 0.2942 * 46

= 6.1305

(D) When X = 0, then Y = intercept value = -7.403

i.e. B0

(E) True, as some points will fall outside the line because regression tells us the expected values not the actual ones.

(F) Coefficient of determination = R2

= 0.899