Answer:
II. The sum of the residuals is always 0.
Step-by-step explanation:
A least squares regression line is a standard technique in regression analysis used to make the vertical distance obtained from the data points running to the regression line to become very minimal or as small as possible.
For any least-squares regression line, the sum of the residuals is always zero.
Basically, residuals are used to measure or determine whether or not the line of regression is a good fit or match for the data by subtracting the difference between them i.e the predicted y value and the actual y value, for the x value respectively.
Hence, the statement about residuals which is true for the least-squares regression line is that the sum of the residuals is always zero (0).
Anything greater than 4 but less than 9
Answer:
220 cm
Step-by-step explanation:
Multiply length x width x height
22 x 5 x 2
110 x 2
220 cm
To determine the number of subjects that are needed for the experiments, we multiply the number of independent variables with the number of scores. For example, there are n independent variables then, there are approximately,
number of subjects = 20 x n = 20n
Answer:
Step-by-step explanation:
5w - 8 ≥ 2
5w ≥ 10
w ≥ 2
closed circle at 2 going to the right
