Question
The slope of the line in the graph is
![](data:image/png;base64,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)
- 5
- 2
- 2.5
- 10
Hint:
A line is a one-dimensional figure, which is consists of a set of points and it has no end points. Line is also known as the shortest distance between two points. Line can be expressed in form of an equation whose standard form is y=mx+c, where m is the slope of the line and c is the intercept of the line. Here, we have to write the slope of the line which can be done by using the points given in the question.
The correct answer is: 2.5
In the question from the given graph we have to find the slope of the line.
From the graph, we can say that the points along the line are (0,5) and (2,10).
Let (0,5) and (2,10) be ![open parentheses x subscript 1 comma y subscript 1 close parentheses space a n d space open parentheses x subscript 2 comma y subscript 2 close parentheses space r e s p e c t i v e l y.](data:image/png;base64,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)
Put the values of ![x subscript 1 comma space y subscript 1 comma space x subscript 2 space a n d space y subscript 2 space i n space m equals fraction numerator y subscript 2 minus y subscript 1 over denominator x subscript 2 minus x subscript 1 end fraction.](data:image/png;base64,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)
![m equals fraction numerator y subscript 2 minus y subscript 1 over denominator x subscript 2 minus x subscript 1 end fraction
rightwards double arrow m equals fraction numerator 10 minus 5 over denominator 2 minus 0 end fraction
rightwards double arrow m equals 5 over 2
rightwards double arrow m equals 2.5](data:image/png;base64,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)
So, the slope of the line joining the points (0,5) and (2,10) is 2.5.
Therefore the correct option is c, i.e., 2.5.
Slope of a line shows the inclination of a line. We can find the slope of a line using the points of the line using the formula , where m is the slope of the line,
are the coordinates of the two points.
Related Questions to study
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The standard equation of line is y=mx+c, where m is the slope of the line and c is the intercept. To write the equation of a line we need to find the value of slope and the intercept.
The slope of the line in the graph is
![](data:image/png;base64,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)
Distance- time graph is a graph which shows the distanced travelled by an object in an given time where x- axis is time and y- axis is distance. For this question we need to understand the given graph.
The slope of the line in the graph is
![](data:image/png;base64,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)
Distance- time graph is a graph which shows the distanced travelled by an object in an given time where x- axis is time and y- axis is distance. For this question we need to understand the given graph.
The value of “a”, if the slope between the points (a, 1) & (7, 2) is 2.
Intercept is a point on y- axis from which the slope of the line passes. This can be determined by putting the value of m, x and y in y=mx+c.
The value of “a”, if the slope between the points (a, 1) & (7, 2) is 2.
Intercept is a point on y- axis from which the slope of the line passes. This can be determined by putting the value of m, x and y in y=mx+c.
If 6 ft long ribbon cost $30, 15 ft long costs $75, then the difference between the constant of proportionality and slope of the line
= x + 1 is
If 6 ft long ribbon cost $30, 15 ft long costs $75, then the difference between the constant of proportionality and slope of the line
= x + 1 is
The cost of 5 pizzas is $20, the slope of the equation is
The cost of 5 pizzas is $20, the slope of the equation is
The slope of the line 2y = 3x + 6 is
Slope of a line shows the inclination of a line, which we can find on comparing the standard equation y=mx+c with the given equation.
The slope of the line 2y = 3x + 6 is
Slope of a line shows the inclination of a line, which we can find on comparing the standard equation y=mx+c with the given equation.