Construct the equation of the regression line.
An editing firm compiled the following table which lists the number of pages contained in a piece of technical writing and the cost of proofreading and correcting them (in dollars). Assume there is a significant linear relationship between X and Y and construct the equation of the linear regression line.
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Question 8 options:
yˆ=15.4(x)+7.1 |
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yˆ=7.1(x)+15.4 |
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yˆ=17.9(x)+1.6 |
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yˆ=1.6(x)+17 |
The table given below ,
X | Y | X^2 | XY | |
7 | 128 | 49 | 896 | |
12 | 213 | 144 | 2556 | |
4 | 75 | 16 | 300 | |
14 | 250 | 196 | 3500 | |
25 | 446 | 625 | 11150 | |
30 | 540 | 900 | 16200 | |
Sum | 92 | 1652 | 1930 | 34602 |
The equation of linear regression line is ,
Where , 'a' be the intercept and 'b' be the slope
Now ,
Therefore ,
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