Compare standard deviation and residual analysis

Describe when/how each are used.

standard deviation is a quantity calculated to indicate the extent of deviation for a group as a whole.

Residual analysis is used to assess the appropriateness of a linear regression model by defining residuals and examining the residual plot graphs.

Step-by-step explanation:

step-by-step explanation:

yes it represnts a functio, their are not 2 of the same numbers on the both sides

x coordinate can be written by using the formula, x= x1 + 2/5(x2 - x1)

step-by-step explanation:

formula

x = x1 + p/w(x2 - x1)

let the line segment ab with a(x1,y1) and b(x2,y2)

a point(x,y) divide ab in the ratio, 2: 3 the x coordinate can be written as

x = x1 + p/w(x2 - x1)

here p=2 and w = 2+3

therefore,

x coordinate can be written by using the formula, x= x1 + 2/5(x2 - x1)

similarly y coordinate y = y1 + 2/5(y2 - y1)