Question

Application of the least squares method results in values of the y-intercept and the slope that minimizes the sum of the squared deviations between the _____.

Answer 1

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.