no one really knows how did it came into use as there is no written evidences.
Your age is a linear function (of time).
One useful strategy is having started a question to complete it.
To derive an equation from a table, first identify the relationship between the variables by observing how the values change. If the relationship appears linear, calculate the slope using two points from the table and find the y-intercept. For non-linear relationships, you might need to use polynomial regression or other fitting techniques. Finally, formulate the equation based on the identified pattern or function type.
The type of equation you would use depends on the specific problem you are trying to solve. For example, if you're dealing with linear relationships, you would use a linear equation (y = mx + b). For problems involving growth or decay, exponential equations (y = a * e^(bt)) might be appropriate. If you're working with physical motion, a quadratic equation (y = ax^2 + bx + c) could be suitable.
To write a linear equation with the point (-2, 4) as a solution, you can use the point-slope form of a linear equation, which is ( y - y_1 = m(x - x_1) ). Here, ( (x_1, y_1) = (-2, 4) ). You can choose a slope ( m ) (for example, ( m = 1 )) and then substitute the coordinates to get ( y - 4 = 1(x + 2) ). Simplifying this gives the equation ( y = x + 6 ).
"Please graph this linear equation."
An example of a linear equation is : y=mx+b.
u can use gauss jorden or gauss elimination method for solving linear equation u also use simple subtraction method for small linear equation also.. after that also there are many methods are available but above are most used
Your age is a linear function (of time).
One useful strategy is having started a question to complete it.
To derive an equation from a table, first identify the relationship between the variables by observing how the values change. If the relationship appears linear, calculate the slope using two points from the table and find the y-intercept. For non-linear relationships, you might need to use polynomial regression or other fitting techniques. Finally, formulate the equation based on the identified pattern or function type.
The type of equation you would use depends on the specific problem you are trying to solve. For example, if you're dealing with linear relationships, you would use a linear equation (y = mx + b). For problems involving growth or decay, exponential equations (y = a * e^(bt)) might be appropriate. If you're working with physical motion, a quadratic equation (y = ax^2 + bx + c) could be suitable.
yes, you can. but it's preferable to Avoid decimals, if it is necessary simplify your equation.
To write a linear equation with the point (-2, 4) as a solution, you can use the point-slope form of a linear equation, which is ( y - y_1 = m(x - x_1) ). Here, ( (x_1, y_1) = (-2, 4) ). You can choose a slope ( m ) (for example, ( m = 1 )) and then substitute the coordinates to get ( y - 4 = 1(x + 2) ). Simplifying this gives the equation ( y = x + 6 ).
To solve a linear equation or inequality, first isolate the variable on one side of the equation or inequality. For an equation, use operations like addition, subtraction, multiplication, or division to simplify until the variable is alone (e.g., (ax + b = c) becomes (x = (c-b)/a)). For an inequality, follow similar steps but remember to reverse the inequality sign if you multiply or divide by a negative number. Finally, express the solution in interval notation or as a graph on a number line, depending on the context.
Linear mass density, u, can be calculated by isolating the u variable in the following equation: v = √(F/u), where v is the velocity, F is the force of tension, and u is linear mass density. Therefore, the equation would be: u = F/v2. You may need to first solve for velocity, using the equation v = fλ, where f is frequency and is λ wavelength. You may also need to solve for force of tension before solving for u. You can use the equation F = mass x gravity, where mass is in kilograms and gravity is 9.8 m/s2. After calculating these variables, you can calculate linear mass density by plugging them into this equation: u = F/v2.
The time-independent Schr