Question
Graph the equation
on a coordinate plane.
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 = -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 = -5
Continuing this way, we have
For x = -1, we get y = 5
For x = 2, we get y = -10
For x = -2, we get y = 10
Making a table of all these points, we have
![](data:image/png;base64,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)
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 = -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
Use a table to find the product.
(𝑥 − 6) (3𝑥 + 4)
Use a table to find the product.
(𝑥 − 6) (3𝑥 + 4)
Why the product of two binomials (𝑎 + 𝑏) and (𝑎 − 𝑏) is a binomial instead of a trinomial?
Why the product of two binomials (𝑎 + 𝑏) and (𝑎 − 𝑏) is a binomial instead of a trinomial?
Graph the equation ![straight Y equals negative 0.5 straight x](data:image/png;base64,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)
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.
Graph the equation ![straight Y equals negative 0.5 straight x](data:image/png;base64,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)
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.
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.
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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,iVBORw0KGgoAAAANSUhEUgAAAfYAAAA4CAYAAAAPftrMAAAgAElEQVR4nO3dd3wUdf748dfMbMumJyQhBRISktB7L9JURFFBlA4i1q+c7fC8Q72znXp+7dzX8ju5s6EeIMWKKAkgCqGEJCQkgZDey4Zsstm+O78/QhEFQdlkIczz8YDHI7Mzs++Z+ey8p3yKIMuyjEKhUCgUik5B9HYACoVCoVAoPEdJ7AqFQqFQdCKqc80gyzIulwu3240gCMiyjCAIp31+4u9f++xcf594I+CpdXVUHD+ffrbPz4cn1qFQnM3vLV+e+p16a9kzrev3LuvJdV1oHD/Vkcsq56f2IUkSouiZe+1zJvaamhrWrFlDRkbGyeSu6FiyLCOKIlqtFkEQMJvNAMqxaGeyLCNJElqtFrfbjdVqVfZ5B5BlGZVKhVarxeFwYLfblf3ezpSy7h0nLpKio6OZMWMGI0eO9Mh6z3l5cCKx79y5E61W65EvVfw2kiRhNpvZvHkzGzZsOJngFe1LpVLR0NDAp59+SmpqqlL+O4haraasrIzVq1eTkZGBRqPxdkidnkqlwmAwsH79elJSUtDpdN4O6bKgUqkoLy9n9erVpKene26955pBlmUCAgKYPHkyzz77LA6Hw2Nfrjg/kiRRW1vL3/72NwwGA6tWrVKOQwdQq9VkZWXx17/+lYSEBF599VVlv3cAtVrN1q1beeKJJ1iwYAH33nuvst/bmVqtJjs7m8cff5zY2FhWrlyp7PMOoFarSUlJ4Yknnjj5uskTzpnYT86oUp0MRNHxtFrtae9glOPQMbRaLaIoIkkSoOz3jqJWqxFFUTnvdCCNRqOUdS/QaDQefwJ73ond7Xb/6ucOhxWz2YZKpUGn0+J22rFYbUhqNT4+ekQB3NYWMvbtpsxgYerVV6HX6y94Ay4XJyowKt0OdCxlv3uH2+0++e+3sNtsOBxOtDrtyYsCxfk5sb/Pt6w7nQ5azRb0el/UKqmdo+u82uP8csElv7mlls8/30hmRjX9+8fR3NxITW0dGt9goiO70lJXg9Fl58rZCxgXGUTW7u38WGBg/LixSmJvB62tLXy5YQ2pqTtwqvQkDRjGTXPmkRju5+3QLhslWXv57NvtjJg7j9Hdunk7nMtCTUUJX3y2gZyiasaOGcUVY8bQNTLS22F1Tk4LaT9uZesP6YSFRtDS6iR+4AiunjwSP6UB9UXhgg9DY30Ru3d+SX2Dlfj4HjhtDXy07i1Ssg4Rm5BAiF5LQXoGO3dngz6UK667hduXLsHf398T8St+wmky8fXqD3l71XvUN5k4fHAvzz39OM+vfJMys/K+rCOYGuv49xuv8/xbb5FbW+ftcC4DTjL3fcdjTz3Dlp378fP3JzwiAo1S0bHd7N61jddf+l+sZivxPeIx1Fbzyqsvs+XHPd4OTXHcBd+x6zVB3HT9QnoOvpbYqABCAsxs2LqeXkOGcdX48TBuFMOHjqXG0laztWffwfT8vV8my6DUBj+rosJ89uUeZuYdD7Bk5nUYKvN54q+PsnrlWwzqN5H7547wdoidm2wjY/tmvvhmB5qu0fhJyuPJ9nZw/w5efO1VCB/B3/60hAFJcd4OqZNrJW3vFjKKjbz44QpiggIJCw5my7d3krYzlVnjPdNcS3FhLjixh4bHM3ZiHBpfHwCsVhNOuwu73Y4bEAU1fUYOJ8FqobDwANu2bscvMIYbb7gOZ0sjqSkplBhsDO43EI3awr6Mg/iExzJ8xDAcNUUczMvFKfowavxkBiS0PdZsNRrZmZpKcXkVLreD/sOGMWHcuAvdlEueT3AI18xfwKiRI9ADAclDuGbKdazfmEWrsdXb4XV6ufsz+SGjkCGTbiTt6AFkt8vbIXVq1UVFvPr0KxysaeWle2cS7q+jxWLH30cDyIByE+B5Ir5+IdQ0NvHx59+xaOoUCg7uITYuhtHKOfiiccGP4iWNFp2vz6kVuWVwuZF/+psSBVQ6mZK8NN566Wle/783MLUYMVaV8NFbb7Ji+XI+++obBI0fdSV5PP/nB3jhlZVU1xiQ3Ca++vRtnnvpbQxmMJlMfPTfr9mSmktkeCh5B/bx8CN/ZnPqDxe6KZc4mW7d45l8PKm3cWBoNhLXJ5Hp1w70Ymydn6mhgp1bNuMbMYBrZl6Pw2pFUirctSM7B37YyKavUogKi8ZVc5CXXv9fHl7xBLmHj6Ik9fbiw4RJ85g2+QpeffKv3HnHXezPyOD+5cu57orx3g5OcZznqzq4ZXDyy0fmgpYBfYYwaeRQbDYbLlkgIi6eUaP7EaJTExKWyMgRw1m2ZB7JqmYK0nO44urp3HrHnUwbEE/6N9+Qe6icoqO7+fSbdWhiYhg0Yii9eyexf/cu/vnGW1zep9FfnsiqCw9ytCCH6fPn0L9biBdiujzINjspX23hcG0jCxdMR+tqweGSlYEY2lFzbQXf7/wegoOZetUk+g8dRkL3cL7d9CHP/ONlqpos3g6x00pOTuK+WxcRrWph+7efkpJ5hMC4JLTQ9rpU4XXtc+45w7GVBBVhcYkk9YrF7XLhlkXUwV3p1z+KkMAQAgLa3rz7633ok9CD4KBoAn3V4BaJ6RJNoNqNpaGcyvR9uIzFRMdp2bZ9J7JOz7Il85g4eQzmdtmYS5PdbmZzyo/g3437/2eRt8Pp1Aqy95KTdYirbllMSLAOmbb21z5Kq492U9tkJ6OwmYjwBCZMuIFucb25fd6tzJs8lN07viP30CFvh9hpledmkrF1M/fcu5zXXnsRh9XIQw//mYNl5UodqItE+zT0FOCM2d3pwGp3IiAcn8eF3e48OdAMgCgLSLKE88TrSUHAJUhIGh9EGY6V1uFs0jOg/ySS/a04BBW+i5YiqdsGt1AKFrhtNjZ/sYX0KjsL7lxGdECAt0PqtFoNVXy6cR3fF5Yz2m1ix/bt7Nu/H7PRSNr274lGS3JSAjqlSbVHibKM+ng/2yd+8Zpgf4YM6c2XO9NxNDd4Nb5Oy93Et19/wIbUA/x7/RPEdQ9G76Piyb+/wMrXVvN/L61Apzyq8jqPHwKVSoVaJaFSqX+5cklCo1EhCqASBUBAJQqIgoAgtNUgFiUBleon+VkQUaklBJcTlY+OoOQYqo0G0rOKiewWS/eYaCymY+z4YRdul9PTm3PpcTnJ+H43pRWNLF4wlzG92moJ1zWaabH+ts4+FOfmdrqI7ZHIwBGjKC8poaS0FIPBgN1mpaqymtqGJlzK00mPi44IZlTfGMytlTSYKo9PFXAILlAF4BMY7dX4Oiu3sYGygnwaxUDCQoMBmDNjOjdN6s/eg4dpUOroXhQ8fB/hoqq4lqLcCvx7VWF0QOBPeiW01TdRkV9Oi8tFg91JuNtBWb2V6sYmnI4aACobW0gvLkWOaasBL5taKSqrpa65DrO7lb7jphLbYyPPPX4Xx2rvZmiEP7szD+IT04cbVZd3F4gWs5nN6z7lvffX0GPUaJKLs9mYvYfSylockh+337bY2yF2Ov5h0cxbfAcz7Q4sNju+vr44LBbWpqYyZPIEpowehKDcrXucLrgr18y6mU3bM3lr1Wr69+6FoewgG77NYfQ1tzBoQF9vh9gpiX6RJCQNg13r2brrR264aixF+YdosroYNWUYYUr3JBcFj51yWkwm9u7exZdb9qBShWA8ks/aDz7m6ivHEBsbh9NlZdf+A2QeaUTv50tK6nZMceFkFDTgHxFKafk+9uyL5Wh6OqVOPTGClW++TMFfNPFjfiU+of7szcwgtvdiViz/C0899Xc++Ofr7IqPZdCoicyZfq2nNuWSdTgri9WrPySzqIh6t4XMH7bglmWsNoGrps0gxMfbEXZCooio0aHX6NAf79wvOjqanj17EhkZgaRW2rK3l/4jp7L8gVo+XPsZr7y2Er1kJjxxMA/+8T6ClC7Q2ofal6vn3EpFk4F16z6gtvww1cU5BCdPYtGtc1C6Bbo4eCyxCwLoff2ZMO16rrpxFrLLiVbngyi2ndhkt5vQ7vEsengFGo2aAF9/tL5+XD9zNlOvuwlJ64vsdpPUbxBPv/AqKkGFTqfBPyCCW5bczlxRQuUXhE6tYvK064mJ7k5GTg7qgFCGDh9FbETQ5d1yVZYJDAlhwdKlLNRpcdrsuGQZWXaj0wUwoN8gb0d42Rg0ZAjPrlhBryjlcXB70ul9mLdkMX36J3OoqJrg4CAGDR5EVNcuSl9W7ahrTALLlj/Oju93Y7E4iLliOgOHjiQ6xNfboSmO81hi9/P1Y/SY0Yw+w2eyLKNW6xkwYDgDBgw/7bMzta4e/rO/B5yhw7SkAQNJGnBq6cshqf/qQAGCQI/kZHokJ//q8so47u0vMjqayGglqXcEQe3DoFETGTTqZ9OVYt6uAoMiueGGm7wdhuIszut5lSAIaDSa3/0lHZFMOvvv2NfXF51Od0EjVilJ/bfz8fFBo9EoQ1h2sBNlXav0+d5hlLLuHTqdDkmSOnY8dlEUcbvd5OTkkJqaitmstBbvaKIoYjQaKSoqwmg0sn37dkwmk7fD6vRUKhXFxcVUVVXhcrmU8t9B1Go16enpGAwG0tPT6datG1ar1dthdWqSJFFaWkpVVRV2u10p6x1ErVZz4MABzGazR4cZPueaJEnC5XKxfft2amtrT7Y3V3QcQRCw2+2UlJTgdDp58sknlePQAQRBwGQyUVJSQllZGU8//bSy3zuAKIo0NjZSVlbGN998Q05OjrLf25kgCLS2tlJSUoJOp1PKegcRRZH6+nrsdvsFPRX/uXMmdpfLhSRJDB8+nIULF2KxKF01djRRFGlpaWHjxo00Nzdz77330tqqNBhtb5IkUV5ezoYNGwgLC2PJkiVK+e8AarWa7OxsNm3axOjRo7n66qux2WzeDqtTkySJyspK1q9fT0hICEuXLlXKegc4Uda//fZbHA7PDa19zsTudrsRRZFRo0Yxd+5cj32x4rexWq0cPnyY+vp6Zs+e7e1wLhslJSVkZGSQmJiolP8OlJaWxp49e5g0aRLz58/3djiXhbKyMjIyMoiLi1PKegfau3cvaWlpHk3s51V5Tpbldr1ilmUZh8OB3eG4zAdyObuWlhasVuvvPPjKXv29Wltbsdvt2O12j6/bk5VlOhuLxYLD4VDuGjtQa2srNputXcq64uwsFgsul8ujlZs93idWc3Mzubm5tJha8dHpsNms2G02EAQEUSQqJpYBfXudtoyxqZ6PP/6ACoOKB//0IOHn2ZHK5dZ863y3tdlQRUZGNi5JS2x8TxJiY342h4O6imIO5ZfgQkKWXURFRdG3bz/PB30ZaW5uIedgFq0WCwKgCQghvlcfYgLbCrTdYeNgVjp1dUZ69UomPj7euwFf4ixNzRw5lE2d2Ywoim1NXgWR4AB/4uPjCQppG9GwxWTgYGY2ZosTkAmNiqRP337ovBr9pc1ht1FUVEhDYxNxsbFEn6F5Z03ZUdKz8gjs2o3+gwcR+LNsYzTUsG/fAQS/EPoMHEykv/ayaLbcETye2F0uF+VlpXz2+edk5x9l6PARjB0xDHtLI9kH9lFQfYyrp9/MrNm3EB9xfHASQUCS1KhV4nkcVJmG6lIaDS0k9evv6fAveQVZGfzzjVfJysmn1eYiuHsSdz/8CDPGDj55sI9V1/LhqlWs27wdtVqD1j+U2fMXK4n9grg5sCeFZ158DbvFhdvlYvDYSTz0aG8AbKZG1n/0DrsPHqFrVDxbtqWy+PbbGdqr1znWqzibg+nbePzRZzBp9WgQEEUZu81Gtz5DeGTFowwJCcFhNbJ540e8seoT3G4VLpeKSdNvoo9S1n83q9XKjm2p/HvVKkoqa7jnrttZuvT2UzM4rezZ9h0fbPqWwLBQtPbt7Ny9l/tuW4KfvwaQKTqQxjsfrMXu60eQysG3Kak8cPtdRMV08dp2dSYeT+yBQcFcPXkcpZnb+HpjBrNmz2P+gvm0GmoZ1LcXH6zbwKsv/YO84gqefuxhYkJ9CQoK4+57HmhbwTmeTja31LFhwwfotJFKYv8ZQ0UZ6z/5hFKjkzm33kFNaT4frvuUR594hi7/700mJnQFXOTnZFBaaWXJ3fchOVuRdEEMGXGGXoAU562yKJc9aXsYM3UGiaGBtJotJCQl0SNYD04bX6z7hP97by1z73yIWVPG8dxzz/Hon//GP996m6SoEG+Hf8kxNpSxP/NHononM2bcZGSXE7nVyM5vvqLFZCQytm2sicN5hzmQU8zMWxYRqNdgscgk9R6k3K1fAFmGkOAAwvVOvkvfTWHJ1NM+Ly7I5tWVL2LpMoyH77yT3G0beX7l+/j7RvKH26/HUF3EO/96nb3FTp5//UWoSOfJZ17mJbsPrzz7kJe2qnPxeGIXBQjsEsbQnlEkRwYQ1y0KH40an8gYukTGMHjUaPy1D/PmqpV07xLJk4/eBcjUVFcjqzSEh3VBAtwuG6VH82myScRERRMWFICxuZl33v5/vL/mQ669dhaFhaWEh0fi76+hvKyUqupaAkK6EBvbHb1GBbLMsYZaWqwQGhiMoaGYYxaZuB6xBOr1nOx30m2npPAI9U1WIqKj6R4Vedo2NdSVU1RcjX9IGDFxsfirL85+qOsa61CFR/LXu+5nWHwMYMdfJbPihbVsS8lnYkJXygoyeeet18mrEpk6ez7XTBmOdKLbX6Ubzt/FbTPx5fp1vPnvT7n9oRVMue5GosNOJeuq0iI2fvYlYre+LFi6kFBg/rTxLHvgj3ywYRN//8NS7wV/ibK7JAYOm8KsxYPoGhYBgKWugoa6OqxRiUSqodVQzab/fsDn3+3nkUcmcOP11xLse7xJkVLYfzcfHx3DR41Drj/AjylfIEg/6UTIZSZ182ccOFzGC/c/Q4/oaPTjphL7yZe8v+Yj5iyazpH9u0jdmcaMux5lRK8e2GKCGdD/Oz785BNmzJnDFQOivLdxnUT7jDslu3A4XLjc8i8qe+l8g5g/8ybWvrOa71K3cOudc8ne9hUfrV9P/JgJ/PmB+/BvNbIjZRM/ZGYTHtOXrce2MDAhmUEjB5FzKJOKimrKyyrJzT2CKGpI272HrzfvJKlHN4qKCunSZzgP3TmfirQdvP7Oe5QbYdy4ifSM9WH37j1owmJYvmwZAb56mk1mtn69jtxDWWh0IRRVljB+xgJmXzkJtdtOduYutu7ah8Pi4mhZCdE9h/LArXMJCrrYhjGSiYztwc1zu9E9KuL4NA1do3oSEaCnT2wYADa7E/+QMJrzM7htwWxmzZnBQ/ctIykpWTnP/U5mYws6yYeoUB3vPPMgmz/fwILb7mLJzOvx8xWoKDhISX4WQ2++k9Djy0QlxtI9OYL9ezOxgnIH+RuFRUQTFnH6e92daWnsLzjKPQvvBcBktqLV6RFtzdx/9+2s/+xG7n7wIa4d2R9RKewXyIXNaUXS0HaRdFxNZRXf/7Af5BBiArsCEBKoZ0B8EPu3HiIzbQ+luYVUNEBUVBIAWq2axNgQBMMRMnfu4IoB87yxQZ1KO956yrjbarP84pOILiFMGBBBhbGZ9BITbpeTzOxDpOzehQwUHS1g1cef0SyGM+O6qWgFF5mZBwiPjGHajZNJTgwnIT6RceNH4zAcYdXL/0t6mZ25t8wkXHLw1sp/8mVWKT4SlOTl8PnGdZTX1TNk5BWE++r4z5v/4eu0AgBSvtrI2/9ZR+8h4xk3ehgFGWk89uhTZBTUUZGTzsZPNxDUbRCzZ8+ia7APrzz3FP/6aEP77bbfTSAoMJS4qIiTB9XWUk9JST59x4zg2sl9AIhLHMBjf3+Rf721kltvmcz3X/yXFU8+T2l1g/dCv8RpA4K5Yd4S3n/vXR575I/IlcU8sfxPvP91CgBVhWVUFFYTpDnVVafsE4Hs053y6kbymrwVeSdiP0ZeYQY2nyAm9G2rlBgYEc3Ce5fz7r9X8ccH7qIody/LH/4T36XnejnYzkAAWTj+6vTUOb7Z4qLaKCP4h+EMaEvsaj898dFdCBIsWIwNlDVZadGHoIpKaFtILRLXRUeXQAet8rGO35ROqN0S+6+9Kvf3k4jsquOY0Y4Df66+7jrGjBmLVhLRAq1OgaLqFnIy8zCa3cxftJQZs9oGHIiJjkKr1RAVFU1wkB+hoaHcMP0WHrz3btwuFzaLjZbGRvYdNRA5Ygw3XjuK7nE9GDZhOjHRMYweNBJNi5VthTW4awtIWbcWTcQQZt04kzHjJ7H8ob9w05SJYLWwbdsPfPH1DuwtRvIOHUat8sdlNpL24/ZLogFZfmYa5fV1LLn/XvzVbT8+tcaH8K4xjJ1wNS+ufIMH7ljA7q++5N8fbfZytJcutU5HcGRXkvoP455HnuT1F58nzs/FmvUf4wSsZjA6QfjpCK6yiOAUsZktmKxKD18X6ujRI2TmZDFw+Fj0x/OMTqMhMiKC4aPG8OTTz/PC3/4EVdl89J9V3g22U5B/8v+pxC4IIEoS+PpBqP7kRJUkIYoCSCrcAki+WsTQE089RQSVhCyJOIX2eYh8uWm3xC4gnLWGe53BwcG8JiJDJZLjtNhsDpxOJyLgApISE7lt3o3UF+1jwYJ5vPr2u6iD2h5iOp02XC4Zp9MJQGiPfkyZfj3Gw9t447211Bjq8PNXIcgy4ETSOZB8fHBKbYVI43TgL8hYRRdlhWUczCohLOl4DVlJw7SZc3j5+SfplxxJTkUdrVYbkX4STc0m4hN6sfL113ngroUgu9tr13lEWVkRa7cdoPcVM5k7ZeyZZ5J8uX7hUoYPSWRv6raODbATGzntSu6940ZUzY3kHIOoCC1dfcDtOnU5KMhGBLGBsC4hdA9Rxmy/MDJHjhykvNHOFePHn3WuSZOnMXXcGKrysjowts5K+Mn/p9KILMs4XXawmhGaj/d9Ymmlrr4ek01AcLnQyDLuVhuuxuO9ZzodGAytmJod6N3KRa4ntNvlkSAIiKJwPMGerqSslLTCJsYM7kH/MA3HauSTr2lkQB8QwOJb76JPr56sW/cxX3/+DtXl5bz8jxdQqTQIyCcvGsry8njphZcoVfnwx3uW0hor8H1+Lk75J9csgowsuE9+gSSIaCQVGo0WwdZITcEeHMxGjYAgqbEYj1FTaUCSJPShXblyxkyOX3vidkLx0TJsdjc67cVZic5YVcUX67egjezNwlkzf/XqLSA4nD5jx5Jfq7xz9BiVhoSYGHoG1BGiBU1CPF0TYqlpOdXJk7m2nKaKYrqNm0Ks57qIvixZWw1k5WbjG9SVCUPO3nxQ1PnjG5WE1pDTgdF1XgLC8Tetp87xIYFaEqL1lFVUom6uAXrS2OIiu9KKwy+EiB496VGYQYCtCXf5YSAah12gtEGmWQomKDrBS1vTubRPZhLUiGoRlwwazenDLuZl7+fVt94kuHcyi5bchhpQqVVo1CpkSYUGKC8uJ+XH/QyfeA0r3/iAOxbPJmXz5xzIzEGSdDjdbjTatrNh+v79rPsuhclz5jBh2BBUTpHWJjfqti5CENGCVUDnbnu/Kak1yMi4nU6ieiczYkQvfvh6LWu/3o0bKDy8j9WfrafOKjA4OZra8jyeePY1GpstOMyNrPn4HT7b+j3CRfrIqLm+no1rNoE+mPsWzSLMT01tfT27D2TTbHUjc/prkuLDhbjsauYtXuCtkC95DpsFW+up0fbsTbWUFNeTGD+A7noI7zmA5FEjyczKotjY1qtXTvZRSmvdXHXlRG+F3WlUlhZwuLCI5MET8PvJdIvVjsl8qhe12pJiWhqsjJ58c8cH2emIaHQa3DKoNafOhV26xjDtynFoRAN7jxwGoMloIL/MQGL/cQzrl0z/wX1IjBHIyt0HgM1qJPfoUUJ7jGT85Ele2ZrOxuPZyWyxkJ99gPWp6RwsNbBjVxpJPeOxGOvJz8li/ebtGO1qnn7qSWZfMw6bzUbGnh8pOrib3BY1qVlH6GpvZfXq1WTmH2BCv/40VDoZcsVEYpPjMFWbkV1avv0hi0lXGrCrtGj0EplfrSfTR0X6rkMYapuoyUyjZLCOlLRCyosLyd63hZH9r2ZP7gEyGkrwS93EsTnjuf6+h/jqyIPcf89tfHfleByimx7DxzNnUAI9gsdxw4S+vP/KU+Ts+YGoLn6oA0O5ecFStBfhXVZJQQGv/+MfrN+cQq9RozmatwurzU517TESeg+lX59kvti0js+3fM/QIWNIjo8hJ7+A/sPGcfO4Qd4O/xLl5FD6Nv71zmq6dO/LhIljaa4tQA4JYcZVbbV7u0R0Y/H8W6h69jX++dQLTJrYm43fZ3DD0j8wZ9pkL8d/6cvI2Mvhwmpue+Sqk9OcDhupW77ik7UbGTB8JCOG9uPQ/mxiu/Vi4a1zvBjtpc9pt1NRWsSmlEyyy6BnbhYVlZXEREcDasZMmcWUPZmsWfsxUYEqDu/+Br/gYP5n6UJEIGnIOK6fOYN1KTt4b10f7FWZ1Bua+OPdD5AUpIwF7wkeT+xWi4XCsmp04YnMXbyU0EA/srKycFmaKSwsp1ffwSxeMpdh/ds6lzGZWmk41sSw4aPoYdXQlJ/HoHGjuOaKcRxrrmDP3n34B4fy0Pxb6RkdRpM6kdsX30lWiYniknJGjxnF8mV/IDfvCEUVVQyeMoX7u3QhtKuW6loDXXsOZOGSKAL8WjmUfxj8dMyZO5e4uDAKawyMnTCNV16w8N67/8VsMtFr2HgW3DCDABECevTn4RXPERW3jr0HjyJrArn2xkVMHtbX07vNI441NOASBMZMHAMuJ2XllciyG70uiFGDBuKvk5AdNloa6igqPIpGLZHUfzCjhg9HVJ7E/04iktYXpyhRUVlGXn4XorqGMWXGVLrHRJ/s9njMuGk88pDMtp0HOZRbxLCRE1i8dD4BGuX9+oWxERoVx1XTlzCwW8TJqYIo4qtXI2GnrKSYoCA94YmJjBg4nMhQjdJ16QVwORxUlFfh1kQyZ/ESYrpFUVRYeDyxQ3h0Asv+8AhffvEZGfvS0ftGsGz5LVw1oXZ6pAUAAAQiSURBVO3mQe8fzoLF96P3W0dJbjp6Hx0L/udBbr5+6q99reI3EORzjERx4MABVqxYwYgRI3jmmWfOuUK73U5TkxFBAK1Wi81qwWK1IYgiGq2e0JBgVJJw+vzGZgRRQi3IIMj4B4YgCQJWSwt1DccIDA0l0Nf35DJupw1DoxGtVk9AYNvDt7raOkSVmi6hwTjtFlotNlTIWB1OVCo1VqcTt9uNRnCh1vridLkRVCqC/duWN5lMuGXw8/VFFIXT+qGX3Q6ajCZ0Pr746Lxzq15fX89jjz2GwWBg/fr1v5xBljGbzVjMZtRa7cn4ZVlGFFVotT5oNCJup41Ws5lWsw1RrSU8NLjjN+YScujQIVasWEFiYiIvv/zyGedxy2CxWLGaW7A7XASFhOKjVcMZ0keL0UCzyUlYlzA0WlFJMGexbds2Hn/8cRYtWsQ999xz9hllFw6nHQdqdGrVz94turG0mmkxteIWBMLCw5FQ+qY5m7y8PP7yl7/Qo0cPXnvttbPO53a5aDYasToc6H18sFosiJJEly6ndwfrcliorjXgFxhMkL/vGdbkpLqyBo3en9DgQA9vzaVjx44dPPbYY8ybN49ly5Z5ZJ3nfcd+vgOQaDQawsPDTk0ICDj3/GFn7h9Yp/ene/dfdgQjqrSEhYefNi084tTfKo0PgZq2gTdOFKdzFRs/P7/T/v7p9gqimuBg7yZAQRB+/RgIAnpfX/S+Z/oBnSKqtPgHaPH/9cOiOO6c+5223hZ99Tp89T/vZuaXy/kHhuIf+GtzKODUfj/neUeQUKt9OPMDXBEfXz98fH/+2/ZUlJ3Lee1v2pqznRhgByDgLOd4Se1DTMzPB6D6KRWR0b/2+eXhfPf7b3FelecEQUClujgri10utFotoigiihdnTfzOSqPRIIoikqQ8Mu9IarUaURSV804HUsq6d6jVao8n9vP61RiNRtasWUNLS0u7jsuuODNRFDGZTGzfvh2r1crDDz+sjJncASRJoqamhrS0NI4cOYIsy0r57wAqlYrCwkIOHjzIu+++S15enlLe25kkSdTW1pKWlkZ+fj6iKCplvQOoVCoKCgooLS316HrP+Y69vLyc9957j/379+N2X9ydsnRmgiCg0+kQRZHW1lZvh3PZkCQJrVaL2+3GarV6O5zLhkqlQqvV4nA4lKTeQU6UdVmWsVgs3g7nsiEIAjExMcyZM4cJEyZ4Zp3nSuwulwuTyYTNZvP44wLFb3eiQpxCoVB42skKw8o5psPIsoxKpcLX1xetVnvuBc7DORO7QqFQKBSKS4dSE0uhUCgUik5ESewKhUKhUHQiSmJXKBQKhaITURK7QqFQKBSdiJLYFQqFQqHoRJTErlAoFApFJ6IkdoVCoVAoOhElsSsUCoVC0YkoiV2hUCgUik7k/wMbK5OgsVzyZQAAAABJRU5ErkJggg==)
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