Question
Graph the equation ![straight Y equals negative 0.5 straight x](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAE0AAAANCAYAAADsUePcAAAACXBIWXMAAA7EAAAOxAGVKw4bAAAABGJhU0UAAAAMyZLetQAAAZRJREFUeNpjYGBgWAjEQQzYQTJUfjACPiCeBsQnoXgmVAwX+I8Hkwx4gPgCEIujiYsC8TkCDhlIsBeI/ZD4PlAxfIFGVWALxNvQxJZCxQcjCAXiSVjEJwBxJL0CDQS6gDgLynYB4g6GwQvWALEbFnFHqBy5gcYBxMeBWBpLrjsDlUcBLFANekC8AcpnILOM+E+rmIWCd0DMhkUcJPaSwpSmgyXXbcERSXAN34BYjWFwgz945H7hCTSQ3CdooBRBy3NsIAcp18UD8WIGIlIQvQC5qRVfoP0gYCcoBxkDcS0Q3wBiDRzqVgGxPRDfBWJhagXaQGbPlziyJwee7IkNgLLcQTyVIyhlphEbGIMdgAp7DxyBsIZEs7ClTCYgPgzE0dDybFgEGqgxPhuL+Hw8TQ5cZfhdLOKNQJwIZcdCmzJDPtBAYD8QF0DLKFBWrcaS1ZCLiXVAbAlNRUzQlHoXS2/IFFqeIYM+aOAN+UATBOK50Oz1DdqN4sETaKAG8S1oJfIOGjCmWMrE3VCz0cE2aKCPAnIAAHEJc2Ycs7uEAAAApHRFWHRNYXRoTUwAPG1hdGggeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzE5OTgvTWF0aC9NYXRoTUwiPjxtaSBtYXRodmFyaWFudD0ibm9ybWFsIj5ZPC9taT48bW8+PTwvbW8+PG1vPiYjeDIyMTI7PC9tbz48bW4+MC41PC9tbj48bWkgbWF0aHZhcmlhbnQ9Im5vcm1hbCI+eDwvbWk+PC9tYXRoPhd1/ssAAAAASUVORK5CYII=)
Hint:
To plot the graph of an equation, first we make a table of points satisfying that equation. Then we draw an x-axis and y-axis on the graph. After that we scale both the axis according the values we get in the table. Lastly, we plot the points from the table on the graph and join them to get the required curve.
The correct answer is: After plotting the points, we join them with a line to get the graph of the equation.
Step by step solution:
The given equation is
Y = -0.5x
First we make a table of points satisfying the equation.
Putting x = 0 in the above equation, we will get, y = 0
Similarly, putting x = 1, in the above equation, we get y = -0.5
Continuing this way, we have
For x = -1, we get y = 0.5
For x = 2, we get y = -1
For x = -2, we get y = 1
Making a table of all these points, we have
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAooAAABhCAYAAABRaIDkAAAJaklEQVR4nO3dMW/aThzG8cd/9VVEGSLMq4hgyVDzAjKQTlnNXIWlb8CoM0iZMhWGvIA4Y4w69DXkrAxR3ob/Q3ouCZfEgLFN+H4kqxWYcM2vxg/nu7OXZVkmAAAA4JX/6m4AAAAAmomgCAAAACeCIgAAAJwIigAAAHAiKAIAAMCJoAgAAAAngiIAAACcCIoAAABwIigCAADAiaAIAAAAJ4IiAAAAnAiKAAAAcCIoAgAAwImgCAAAAKcvRXbyPG/b7QAAAMCKsizb6s8vFBSl7TcEq/M8j7o0FLVpLmrTTNSluahNc1XRkcelZwAAADgRFAEAAOBEUAQAAIATQREAAABOBEUAAAA4ERQBAADgVEpQnM/n8jxPvV7P+Xyv15PneUrTtIy3Q0nSNJXneS+2t2qI+tjjZz6f192UvdNutzk+Guqj8w6qNxgMls4pfG7tvlKCYqfTURiGiuNYs9nsxXOz2UxxHCuKIrVarTLeDiXxfV9JkijLMmVZpiRJFMex2u123U2D/gX5OI7rbspesuuT2ePDGKM4jgkmDTAYDNTtdutuBhaMRiOlaZofL1mWKQgCdbvdpVyAHZMVUHC3TNLSvq7HUI5t/F7DMMwkZUmSlP6z98mmtYmiKJOU+b6f/52alKNIbexxYIx58bitxXQ63Vbz9taq55npdJpJyoIg2HLLsO7nmTGGGm1ZFfmq1DGKURRJev5msfjndDot822wRUdHR5Kkx8fHmluy3x4eHhSGoe7v7+tuyl66vb1VEARLV0FOT08lSXd3d3U0a+/Z4UvGGPX7/Zpbg4/Y44fPsd1W+BZ+RVxcXOjy8lLD4VDHx8caDocKgoADegcdHh7W3YS9Nh6P627C3krTVMYYff36dek5e+JjvHU9Wq0Wt5LbQQxn2m2lz3q+urqSpHz8CCe83XJ5eSnpedwpsI+enp4+3IceEuBjdmziyclJzS3BJkoPip1OR0EQSJLz0g2aazQayRiTDyEAAGBdZ2dnkp6vNmJ3lR4U7SxnSYrjmKnxO2I+n2s4HMr3fQ5qAMBG7OoAzFHYfaUHxbOzM/m+n48jOT8/L/stUNBsNiu0TmKapvlQAS6pVaNobVC9g4ODD/dhzBXwtsFgkC+LxxyF3VdqUBwMBpL+jVOMokjGmHz2M6rV7/dfrGmVZZlubm6W9vN9X9LzTEJUo2htUL33JqzYxxhzBbiNRiNNJhOFYcjVqU+itKA4n881mUwUBEE+EeLi4kK+72s4HDJLsKFsz0iSJIwnBf4KgkBxHC99bl1fX0uSjo+P62gW0Giz2Sxf7YSJrJ9HaUHRXmJ+/Z/D9i7a3kY0R6/XkzFG0+mUWc7AAvs5tvi5ZcfxhmHI8QK8Mp/P86FnXB35ZIqsyv3RbnaF/CiKnM8HQcCdJbagYPmckiTJ73Dw1ob1bfr7s3cGoTblK/r7s3eVWNy4I8v2FKmLqyaL21vnIGymSG3seZ7aVKuK84H3943e5Xkei5w2EHVpLmrTXNSmmahLc1Gb5qqiNqXPegYAAMDnQFAEAACAE0ERAAAATgRFAAAAOBEUAQAA4FR41jMAAACaZduznr8U3ZGp8c3DkgXNRW2ai9o0E3VpLmrTXFV05HHpGQAAAE4ERQAAADgRFAEAAOBEUAQAAIATQREAAABOBEUAAAA4lRIUB4OBPM/TbDZbei5NU3mep3a7XcZbYQPz+Vye56nX69XdFCxot9vyPC/fVqnP4usWN463cmxSG1RvNpstHQvz+bzQa0ej0ZvHk+vchvX0er2V6oL6lRIUv3//Lkn68ePH0nM/f/6UJF1dXZXxVljTYDBQt9utuxl4xa6BlWWZsiyTMUZxHBcKJGmaSpLCMMxfb7f7+/uttnsfbFIbVG80Guns7EzT6TSvWRiG6na7hULJw8ODJMkYs3Q89fv9bTf/07OdRnEc190UrKiUoNhqtRRFkYwxL755pWmqyWSiIAjU6XTKeCuswfM8TSYTTafTupuCBYPBQJJ0e3ubP2aPpTiO6cWoEbXZLWmaajgcKgzDF6FuPB5Lks7Pz+tqGvQc4n3fl+/7iqKo7uZgRaWNUby4uJD0slfR9ia6ehpRDdvrZIzhW3HD3N7eKggCtVqtF4+fnp5Kku7u7upoFkRtds2fP38kSd++fVt6LgxDGWPyz0JU7+HhQWEYcqVjR5U6meV1ryK9ifVrtVrKsmzphId6pWkqY4yzLvYxTmz1oDa7xwb3g4ODpeeOjo4kSU9PT5W2Cf+Mx+O8dxe7p9SgaHsVr66uNBqNJNGbCLgUOWkV/fY9mUyYcFGiMmuDahQJ7o+Pj4V+lu/7a02GAT6r0pfHsWN4hsMhvYnAFtne4sUtSRLFcVzJjeKBz2Q8Hi8dT0EQqNvt5h0fwD4qPSjaXkWJ3kSgap1OJ5+0xMkN2MzNzY1839dwOKy7KUBttrLgdhAEkkRvIvAG11iq19ZdC/Hw8FDSv+U+sJpt1gbrc62RaIdZFBmDbY+LVdlaMy71be/VBruPO7MANXhvUoR97OTkpNI24Rm1aaZ+v790afjm5kbS+xNW7BcmOi62573aYPcRFIGaBEGgOI6XAsn19bUk6fj4eK2f+/v3b0nupUJQzLZqg+2w9fj169fSc3b1jXXFcexcKgnYFwRFoCZ2uQi7uLP0fJtFu3DwYg+Ivb3Y4r69Xm9pHOJsNnO+HqtZpTaoX6fTURiGmkwmL2Yp28ufr5dmsZdH7RcBe3vT1+xlZ5Z2wV7LCii4Wy4IgpVfg9UV+R0bYzJJb25RFFXQ0v1T9P+/qz7T6XRpvyiKMklZGIb5Y0mSOGuaJElp/47PqOzaoBxlnDPCMHxRL9/333wvSZkxJn/MnrcWtyAINm7TZ7BpbV7X5fWG9VXx+/P+vtG7PM9Tgd1QMerSXNSmuahNM1GX5qI2zVVFbbj0DAAAACeCIgAAAJwIigAAAHAiKAIAAMCp8GQWAAAANMu2J7N8aUIjAAAA0DxcegYAAIATQREAAABOBEUAAAA4ERQBAADgRFAEAACAE0ERAAAATgRFAAAAOBEUAQAA4ERQBAAAgBNBEQAAAE4ERQAAADgRFAEAAOBEUAQAAIATQREAAABOBEUAAAA4ERQBAADgRFAEAACAE0ERAAAATgRFAAAAOBEUAQAA4ERQBAAAgBNBEQAAAE4ERQAAADgRFAEAAOBEUAQAAIATQREAAABOBEUAAAA4/Q9gkFZh6ALJtgAAAABJRU5ErkJggg==)
Now, we plot these points on the graph
![](data:image/png;base64,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)
After plotting the points, we join them with a line to get the graph of the equation.
First we make a table of points satisfying the equation.
Putting x = 0 in the above equation, we will get, y = 0
Similarly, putting x = 1, in the above equation, we get y = -0.5
Continuing this way, we have
Making a table of all these points, we have
Now, we plot these points on the graph
After plotting the points, we join them with a line to get the graph of the equation.
We can find the tabular values for any points of x and then plot them on the graph. But we usually choose values for which calculating y is easier. This makes plotting the graph simpler. We can also find the values by putting different values of y in the equation to get different values for x. Either way, we need points satisfying the equation to plot its graph.
Related Questions to study
The constant term in the product (𝑥 + 3) (𝑥 + 4) is
The constant term in the product (𝑥 + 3) (𝑥 + 4) is
Write the product in standard form. (3𝑦 − 5)(3𝑦 + 5)
This question can be easily solved by using the formula
(a + b)(a - b) = a2 - b2
Write the product in standard form. (3𝑦 − 5)(3𝑦 + 5)
This question can be easily solved by using the formula
(a + b)(a - b) = a2 - b2
Write the product in standard form. (𝑥 − 4)(𝑥 + 4)
This question can be easily solved by using the formula
(a + b)(a - b) = a2 - b2
Write the product in standard form. (𝑥 − 4)(𝑥 + 4)
This question can be easily solved by using the formula
(a + b)(a - b) = a2 - b2
The area of the rectangle is 𝑥2 + 11𝑥 + 28. Its length is x + __ and its width is __+ 4. Find the missing terms in the length and the width.
The area of the rectangle is 𝑥2 + 11𝑥 + 28. Its length is x + __ and its width is __+ 4. Find the missing terms in the length and the width.
Simplify: 12 - [13a - 4(5a -7) - 8 {2a -(20a - 3a)}]
Simplify: 12 - [13a - 4(5a -7) - 8 {2a -(20a - 3a)}]
Write the product in standard form. (2𝑥 + 5)2
This question can be easily solved by using the formula
(a + b)2 = a2 + 2ab + b2
Write the product in standard form. (2𝑥 + 5)2
This question can be easily solved by using the formula
(a + b)2 = a2 + 2ab + b2
Write the product in standard form. (𝑥 − 7)2
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2
Write the product in standard form. (𝑥 − 7)2
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2
(𝑥 + 9)(𝑥 + 9) =
This question can be easily solved by using the formula
(a + b)2 = a2 + 2ab + b2
(𝑥 + 9)(𝑥 + 9) =
This question can be easily solved by using the formula
(a + b)2 = a2 + 2ab + b2
Find the area of the rectangle.
![](data:image/png;base64,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)
Find the area of the rectangle.
![](data:image/png;base64,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)
The table below shows the distance a train traveled over time. How can you determine the equation that represents this relationships.
![](data:image/png;base64,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)
The table below shows the distance a train traveled over time. How can you determine the equation that represents this relationships.
![](data:image/png;base64,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)
Simplify: 4x2(7x -5) -6x2(2 -4x)+ 18x3
Simplify: 4x2(7x -5) -6x2(2 -4x)+ 18x3
(𝑎 + (−3))2 =
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2
(𝑎 + (−3))2 =
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2
Use the table method to multiply a binomial with a trinomial.
(−3𝑥2 + 1) (2𝑥2 + 3𝑥 − 4)
Use the table method to multiply a binomial with a trinomial.
(−3𝑥2 + 1) (2𝑥2 + 3𝑥 − 4)
(𝑥 − 2)2 =
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2
(𝑥 − 2)2 =
This question can be easily solved by using the formula
(a - b)2 = a2 - 2ab + b2