Answer:
The least squares method results in values of the y-intercept and the slope, that minimizes the sum of the squared deviations between the observed (actual) value and the fitted value.
Step-by-step explanation:
The method of least squares works under these assumptions
- The best fit for a data collection is a function (sometimes called curve).
- This function, is such that allows the minimal sum of difference between each observation and the expected value.
- The expected values are calculated using the fitting function.
- The difference between the observation, and the expecte value is know as least square error.
Step-by-step explanation:

This is the equation of the ellipse. Since the denominator is greater for the y values, we have a vertical ellipse. Remember a>b, so a
The formula for the foci of the vertical ellipse is
(h,k+c) and (h,k-c).
where c is
Our center (h,k) is (2, -5)

Here a^2 is 9, b^2 is 4.



So our foci is

and

Answer:
Hard questions
Step-by-step explanation:
Answer:
The term rate refers to a quantity of one item in relation to another item used as a standard. A popular example is speed. Speed is a measure of distance traveled through time and is measured as meters per second. Another example is acceleration, which is a measure of speed through time or simply how fast an object is gaining speed and is measured in meters per second squared.
Step-by-step explanation:
Example: For example, if it is a mile, you count how many feet are in that mile.