you make x=0 and solve for y. for the x intercept you do y=0 and solve for x
The y-intercept is -5. 2x - 3y = 15 -3y = -2x + 15 y = 2/3x - 5 the y-intercept is the number in slope intercept form that does not have a variable, the minus sign makes the intercept negative.
The y- intercept of a line is where the line crosses the y axis. The x- intercept is where the line crosses the x axis.
Graphically, it is the point where the graph intersects the y-axis. It gives the value of the y-variable when the x-variable is 0. If, to take a simplistic example, x represented the number of units produced by a firm, and y was the total cost, then the y-intercept would represent the fixed costs - the amount the firm would have to pay even if it produced nothing - eg for land, rent etc.
where as y-intercept on y-axis is distance between origin to the poin on y-axis How do you interpret the y-intercept as in statistics
If y = 7, then the y-intercept is 7.
The y-intercept is whatever number (with no variable) is added onto the end of the equation y=mx+b. In this case b is the y-intercept. In y=15x the y-intercept is 0 because there is no number without a variable on the end.
The y-intercept is when your Y variable crosses one of the two y axis's. Most of the time, the Y-axis is the starting point.
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It represents the value of the y variable when the x variable is zero.
The y-intercept of a graph represents the value of the dependent variable when the independent variable is zero. In many contexts, particularly in linear equations or real-world scenarios, this y-intercept is interpreted as the initial value of the dependent variable before any changes occur. Thus, it serves as a starting point for understanding how the variable behaves as the independent variable changes.
The y-intercept is -5. 2x - 3y = 15 -3y = -2x + 15 y = 2/3x - 5 the y-intercept is the number in slope intercept form that does not have a variable, the minus sign makes the intercept negative.
The percent intercept in linear regression refers to the y-intercept of the regression line expressed as a percentage of the dependent variable's mean. It is calculated by first determining the y-intercept (bâ‚€) from the regression equation, which is the value of the dependent variable when all independent variables are zero. Then, to express it as a percentage, the y-intercept is divided by the mean of the dependent variable and multiplied by 100. This provides insight into the baseline level of the dependent variable relative to its average.
The variable that represents the y-intercept in a linear equation is typically denoted as ( b ) in the slope-intercept form of the equation, which is ( y = mx + b ). Here, ( m ) represents the slope of the line, and ( b ) indicates the point where the line intersects the y-axis, meaning the value of ( y ) when ( x = 0 ).
y = 2x + 2
K can be a variable, it is commonly a variable in the quadratic equation y=a(x-h)2+k K is the y-intercept.
The y-intercept is the point where a line or curve intersects the y-axis of a graph. It represents the value of the dependent variable when the independent variable is zero. In a linear equation of the form (y = mx + b), the y-intercept is represented by (b). It is crucial for understanding the behavior of functions and their graphs.
The point where a graph crosses an axis is known as an "intercept." Specifically, the x-intercept is where the graph crosses the x-axis, while the y-intercept is where it crosses the y-axis. These points indicate the values of the variable when the other variable is zero.