Question
In making a road the engineer decided to keep the slope as 0.1. Treating the initial point of the road as (0, 0), then the point that lies on the road among the following is
- (1, 10)
- (10, 1)
- (-1, -10)
- (-1, 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 point that lies on the line which can be done by using the slope given in the question.
The correct answer is: (10, 1)
In the question the given slope is 0.1 and the initial point is (0,0).
We have to find the point which lies on the road.
Step 1: Find the intercept of the line.
Put x and y as 0 and the slope as 0.1 in y= mx+c.
y= mx+c
0= 0.1
0 +c
c=0
Step 2: Find the value of x and y.
Put the value of m and c in y=mx+c.
y= 0.1x ...................(1)
Among the given options, the options a and c satisfies the eq. 1.
But, (-1,-10) is not possible as the point lies on the road cannot be negative.
So, the the point which lies on the road is (1,10).
Therefore, the correct option is a, i.e., (1,10).
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![](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. For this question we need to understand the given graph.
The Graph represents the relation between distance & time by Jack. The distance Jack cycled in a minute is
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)
Distance- time graph is a graph which shows the distanced travelled by an object in an given time. For this question we need to understand the given graph.
The cost of 1 Burger is $3.0, form a linear equation for the proportional relationship, then the slope of the linear equation is
The cost of 1 Burger is $3.0, form a linear equation for the proportional relationship, then the slope of the linear equation 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.
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 equation passing through (5.7, 2.4) & (2.2, 7.9) is
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.
The slope of the line equation passing through (5.7, 2.4) & (2.2, 7.9) is
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.
The slope of the line in the graph is
![](data:image/png;base64,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)
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.
The slope of the line in the graph is
![](data:image/png;base64,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)
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.
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.
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.
The slope of the line y = 2x + 7 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 y = 2x + 7 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 linear equation, among the following, passing through the points (0, 1) and (5, 0) is
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. 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.
The linear equation, among the following, passing through the points (0, 1) and (5, 0) is
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. 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.
The sum of slopes of line equations y = 2x & y =
x 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 sum of slopes of line equations y = 2x & y =
x 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 linear equation that have slope
is
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 linear equation that have slope
is
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 joining (20, 60) & (21, 90) is
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.
The slope of the line joining (20, 60) & (21, 90) is
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.
The slope of the equation y = -0.5x is
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. 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 equation y = -0.5x is
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. 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 equation among the following that have no solution is
A linear equation in one variable is equation with only one variable and in which the highest degree is one. A linear equation in one variable will have no solution only if the variable term on both the sides are same and on operating got cancelled leaving behind the constant terms.
The equation among the following that have no solution is
A linear equation in one variable is equation with only one variable and in which the highest degree is one. A linear equation in one variable will have no solution only if the variable term on both the sides are same and on operating got cancelled leaving behind the constant terms.
The solution of the equation “Quarter of a number when added to 5 is same as twice the number added to 1”
Quarter is the one forth or of a given quantity or number
The solution of the equation “Quarter of a number when added to 5 is same as twice the number added to 1”
Quarter is the one forth or of a given quantity or number