Let us look at an example on how to find the least square line for a given data set. Here, the value of slope 'm' is given by the formula, m = (n ∑ (XY) - ∑ Y ∑ X) / (n ∑ (X 2) - (∑ X) 2) and 'b' is calculated using the formula b = (∑ Y - m∑ X) / n Here, 'y' and 'x' are variables, 'm' is the slope of the line and 'b' is the y-intercept. Linear regression is used to model the relationship between two variables and estimate the value of a response by using a line-of-best-fit. The least-squares method is used to find a linear line of the form y = mx + b. The graphing calculator will display the form of the equation as (ya+bx) and list the values for the two coefficients (a and b).
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |