With great difficulty because without an equality sign the given terms can't be considered to be an equation but if you mean y = 14.2-3.9x then the y intercept is 14.2
The y-intercept of a linear equation is the point where the graph of the line represented by that equation crosses the y-axis.
The slope-intercept form of a linear equation is y = mx + b where m = slope and b = the y-intercept.
It could be any value
The y-intercept of a linear equation is the point on the y-axis at which the line cuts.It could be found by plugging x = 0 in the given linear equation.For example,Consider 3x + 2y = 6. To find the y-intercept just plug x = 0 in the equation.3(0) + 2y = 62y = 6y = 3(0, 3) is the y-intercept of the linear equation 2x + 3y = 6.Note:In the same way we can find the x-intercept by plugging y = 0 in the given linear equation.
A Y-intercept and the slope. The y-intercept is where the line crosses the Y axis.
It represents the value of the y variable when the x variable is zero.
A linear equation is an equation that in math. It is a line. Liner equations have no X2. An example of a linear equation is x-2 A linear equation also equals y=mx+b. It has a slope and a y-intercept. A non-linear equation is also an equation in math. It can have and x2 and it is not a line. An example is y=x2+3x+4 Non linear equations can be quadratics, absolute value or expodentail equations.
The y-intercept of a linear equation is the point where the graph of the line represented by that equation crosses the y-axis.
You can graph a linear equation slope intercept by solving the equation and plugging in the numbers : y=mx+b
The slope-intercept form of a linear equation is y = mx + b where m = slope and b = the y-intercept.
The value depends on the slope of the line.
on the lineGiven a linear regression equation of = 20 - 1.5x, where will the point (3, 15) fall with respect to the regression line?Below the line
Yes.
It could be any value
The linear regression function rule describes the relationship between a dependent variable (y) and one or more independent variables (x) through a linear equation, typically expressed as ( y = mx + b ) for simple linear regression. In this equation, ( m ) represents the slope of the line (indicating how much y changes for a one-unit change in x), and ( b ) is the y-intercept (the value of y when x is zero). For multiple linear regression, the function expands to include multiple predictors, represented as ( y = b_0 + b_1x_1 + b_2x_2 + ... + b_nx_n ). The goal of linear regression is to find the best-fitting line that minimizes the difference between observed and predicted values.
That must depend on the equation that has not been shown
The y-intercept of a linear equation is the point on the y-axis at which the line cuts.It could be found by plugging x = 0 in the given linear equation.For example,Consider 3x + 2y = 6. To find the y-intercept just plug x = 0 in the equation.3(0) + 2y = 62y = 6y = 3(0, 3) is the y-intercept of the linear equation 2x + 3y = 6.Note:In the same way we can find the x-intercept by plugging y = 0 in the given linear equation.