Use the data as given in the problem and answer the following questions. The data shows the opening bid for an auction item and the winning bid for the same item. UPLOAD YOUR RESPONSE. Paired Data x (opening bid) 10 4 y (winning bid) 50 17 23 28 13 11 Make sure to answer each question. 1. Create a scatter plot of your data. (I suggest that the y-axis should range from 0 to 70 in increments of 10 and the x-axis should start from 0 and go to 10 in increments of 1) 2. Find correlation coefficientr (Round to three digits.) 3. Use the Critical Value for Correlation Coefficient Table to determine if there is evidence for a linear correlation. Assume a = 0.05. (Write down the critical value from the table and answer yes %3D or no) 2) 3.

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Author:Amos Gilat
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Use the data as given in the problem and answer the following questions. The data shows the
opening bid for an auction item and the winning bid for the same item. UPLOAD YOUR RESPONSE.
Paired Data
x (opening bid)
10
14
3
y (winning bid)
50
17
28
13
11
Make sure to answer each question.
1. Create a scatter plot of your data. (I suggest that the y-axis should range from 0 to 70 in
cer
increments of 10 and the x-axis should start from 0 and go to 10 in increments of 1)
2. Find correlation coefficientr (Round to three digits.)
3. Use the Critical Value for Correlation Coefficient Table to determine if there is evidence for a
linear correlation. Assume a = 0.05. (Write down the critical value from the table and answer yes
or no)
4. Find the regression equation. (Round coefficients to two decimal places)
5. Graph the regression equation on your scatter plot.
6. If the opening bid (x) is 10, what does the least-squares equation forecast for the winning bid (y)?
23
Transcribed Image Text:Use the data as given in the problem and answer the following questions. The data shows the opening bid for an auction item and the winning bid for the same item. UPLOAD YOUR RESPONSE. Paired Data x (opening bid) 10 14 3 y (winning bid) 50 17 28 13 11 Make sure to answer each question. 1. Create a scatter plot of your data. (I suggest that the y-axis should range from 0 to 70 in cer increments of 10 and the x-axis should start from 0 and go to 10 in increments of 1) 2. Find correlation coefficientr (Round to three digits.) 3. Use the Critical Value for Correlation Coefficient Table to determine if there is evidence for a linear correlation. Assume a = 0.05. (Write down the critical value from the table and answer yes or no) 4. Find the regression equation. (Round coefficients to two decimal places) 5. Graph the regression equation on your scatter plot. 6. If the opening bid (x) is 10, what does the least-squares equation forecast for the winning bid (y)? 23
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