You are given the following information about y and x.
y |
x |
|
Dependent |
Independent |
|
Variable |
Variable |
|
10 |
15 |
|
4 |
12 |
|
9 |
10 |
|
11 |
7 |
Refer to Exhibit 12-22. The least squares estimate of b0 equals
Question 9 options:
-1.3 |
|
-5.647 |
|
11.41176 |
|
7.1120 |
Answer: Option (3) b0 = 11.4118 (Rounded to 4 decimal places) is the correct answer.
Justification: The linear regression equation based on the data point is of the form y_hat = b0 + b1x where b0 = the y-intercept and b1 = the slope.. It is obtained to be y_hat = 11.4118 -0.2647 x where y_hat is the predicted value of the dependent variable and x is the given value of the independent variable. So, b0 = 11.4118, and as per the given options, option (3) is the correct one.
The answer is obtained using R-software. Code and output are attached below for verification.
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