Point (8, 19.2) is ___ the least squares regression line.
The value of the least squares regression line at x = 8 is ___.
So, the residual of the data point (8, 19.2) is ___.
Point (8, 19.2) is ___ the least squares regression line. The value of the least squares regression line at x = 8 is ___. So, the residual of the data point (8, 19.2) is ___.
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To determine if the point (8, 19.2) is above, below, or on the least squares regression line, we first need to find the equation of the regression line, which typically has the form ( y = mx + b ).
Once we have the equation, we can calculate the value of the regression line at ( x = 8 ). This value will tell us if the point lies above, below, or on the line.
The residual can then be calculated as:
[
text{Residual} = text{Actual value} – text{Predicted value}
]
To provide a complete answer, I need the specific equation of the least squares regression line or the relevant data to calculate it. Please check if you have that information!
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