Answer:
<h2>560</h2>
Step-by-step explanation:
You must use a combination:
We have <em>n = 16</em>, <em>k = 3</em>.
Substitute:
Answer:
1. The sum of the residuals is always close to zero.
2.The coefficient of determination measures how much of the variation in the y-values is explained by the regression line.
3. In the equation of the least-squares regression line, y hat is a predicted value when x is known
Step-by-step explanation:
The least square regression line is a line that makes distance from data points to the regression line to be as minimal as possible. This line is a best fit for the data points. Let's say we have a collection of numbers and a scatter plot, this line is a line that exists and best fits the data.
Therefore, the least square regression line minimizes sum of squared error to be close to zero. R² measures the extent to which variations in the value of y is explained by the regression line. In the equation of this line, y hat is a predicted value when x is known.
Hi! i think it’s the last one (270 degrees counterclockwise and 1 unit to the right)
if it was 180 degree, the shape would be in quadrant II, not quadrant III
The quantitative relation between two amounts showing the number of times one value contains or is contained within the other.
Answer:
6
Step-by-step explanation:
what you have to do to find that out is add them all togeather the divide that whole by the amount of numbers you were adding so in this case it would be 3 so you would add 8,7, and 3 to get 18 then divide that by 3 to get 6.
hope this helps
pls mark brainliest