Question
x-intercept is same as the y-intercept and sum of the intercepts is 2. The equation of line will be
- x – y = 1
- x + y + 1 = 0
- x + y = 1
- x – y + 1 = 0
Hint:
Find the values of x and y-intercepts and then substitute them in the standard equation formula to get the equation of the line.
The correct answer is: x + y = 1
Related Questions to study
x-intercept is twice of y-intercept and the sum of the intercepts is 6. The equation of line will be
x-intercept is twice of y-intercept and the sum of the intercepts is 6. The equation of line will be
The slope-intercept form is
The slope-intercept form is
The x-intercept of the line 2x + 3y = 10 is
The x-intercept of the line 2x + 3y = 10 is
The difference between x and y–intercepts is
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAPAAAACpCAYAAAAV1LCtAAARpklEQVR4Ae2dCdBNZRjHrVknCSW+kZaPhj5RI4mYNIUWI6MMJhWhfaqp0CjGkJZpGFtKKm2TNZXKIEtINaQohfaI0lgrLXia/zPz3u53u/d+313OPec85//O3O/cs73nff7P/X3vet63gjBQASoQWgUqhDblTDgVoAJCgPkjoAIhVoAAh9h5TDoVIMD8DVCBECtAgEPsPCadChBg/gaoQIgVIMAhdh6TTgUIMH8DVCDEChDgEDuPSacCBJi/ASoQYgUIcIidx6RTAQLM3wAVCLECBDjEzmPSqQAB5m+ACoRYAQIcYucx6VTALMCjR4+WcePG0cNUwLQCZgGuV6+eFBUVmXYejaMCZgEuLi6WkpISepgKmFaAAJt2L42zrgABtu5h2mdaAQJs2r00zroCBNi6h2mfaQUIsGn30jjrChBg6x6mfaYVIMCm3UvjrCtAgK17mPaZVoAAm3YvjbOuAAG27mHaZ1oBAmzavTTOugIE2LqHaZ9pBQiwaffSOOsKEGDrHqZ9phUgwKbdS+OsK0CArXuY9plWgACbdi+Ns64AAbbuYdpnWgECbNq9NM66AgTYuodpn2kFCLBp99I46woQYOsepn2mFSDApt1L46wrQICte5j2mVaAAJt2L42zrgABtu5h2mdaAQJs2r00zroCBNi6h2mfaQUIsGn30jjrChBg6x6mfaYVIMCm3UvjrCtAgK17mPaZVoAAm3YvjbOuAAG27mHaZ1oBAmzavTTOugIE2LqHaZ9pBQiwaffSOOsKEGDrHqZ9phUgwKbdS+OsK0CArXuY9plWgACbdi+Ns64AAbbuYdpnWgECbNq9NM66AgTYuodpn2kFCLBp99I46woQYOsepn2mFSDApt1L46wrQICte5j2mVaAAJt2L42zrgABtu5h2mdaAQJs2r00zroCBNi6h2mfaQUIsGn30jjrCoQG4GPHjsnLL78sb7zxRrl8UlxcLCUlJeW6lhdRgbAqEBqAf/vtN2natKlUqFBBxo8fX6beBLhMiXiBAQVCAzC03rZtm3Ts2FEh7tu3r+zZsyelCwhwSml4wpACoQIYuh8+fFjuvPNOhbh58+ayYcOGpO4gwEll4UFjCoQOYKf/M888I1WrVpUqVarIzJkz3eHYlgDHpOAXwwqEFmD4ZP369YJcGPXi22+/XXNn56tmzZqxEcuJwa1ZBUINMLzy66+/CurDgPiiiy6Sr776Sg4ePKgNXueee65Zx9EwKgAFQg+wc+Ojjz4qlSpVkoYNG8qZZ56pQNevX19WrlzpLuGWCphTwAzA8Mxjjz2m4CI3dp8GDRrIjz/+aM5xNIgKQAFTAN91110xcB3A2L766qv0NhUwqYApgO++++6kAE+ePNmk82gUFTAF8ObNm6VWrVr/g7hGjRqCbicGKmBNAVMAwzlr1qyRbt26aR8xGrMwdrply5YKdWJXkzVn0p7oKWAOYOdCDORo06aN7u7bt0/69++vEHfo0EG2b9/uLuOWCoRaAc8APnTokPbJHj16NO8C/fPPPxo3hlWmCskGcqCrCY1aderUkUWLFqW6lcepQGgU8Azgyy67TFq0aCGALT4cOXIkfrdc3xPv2b9/v9StW1eGDh2a8v5UQymXLFki6FoCyKNGjUp5P09QgTAo4AnAKKICkJEjR8Y0mDJlig57rFevnvTp00d++OGH2LlUXzAI44orrhDcg+Lw9OnTY5f269dPqlevnvKNpFQAIwI8u0uXLprGXr16ya5du2Lx8gsVCJMCngA8YcIEheP9999XLfAiPoBGjokuHXzv3LmzJOas8cL9+eefCu8DDzwgiK9ixYp6HxqpEObOnav72CYL6QDG9X///bfcd999Gsdpp50m69atSxYNj1GBQCvgCcDINatVqyZ79+5V49FwVLNmTcGsGgg9evRQcL7++uuU4gBujGl2AUVygD9r1iw9tHXrVt3Hq4XJQlkAu3tefPFFTRvinjZtmjvMLRUIhQKeAIy6b+PGjVUA1IHxHV05LowYMULhW7t2rTuUdguYASQg27hxo16LlmX8U0CXUbJQXoBx76ZNm/TNJcQ/ZMgQwewfDFQgDArkHeDff/9dXyho166d2o+W4lNOOUUuuOCCmB5jx45VGF1xOHYixRfUpQHXbbfdFrsCrdyoG2OGjmQhE4BxPxrGbrjhBn1O27Zt5csvv0wWLY9RgUApkHeAAWxRUZG0bt1aDUVds0mTJoJ6pgtuyOPHH3/sDqXcolgLeLt27VqqRRsAn3jiiXkD2CXA1d9r164tCxcudIe5pQKBVCDvAMPKVq1aaVeN6wMGfIBw586dKgJmi0Q3EIqqqAePGTNGt4kKzZ49W+/r3bt34iltfcZsHFddddX/zuFApjlwfCQrVqzQYj/SHN+SHn8Nv1OBICjgCcDXXHONVK5cWXbs2KE2rlq1SjAeGUVpwA0wXJfQjBkzdB8t1fHhl19+0eO4Fi/mo9sHxeWHHnpIL8O4Z5xDfTpZyAVgxId/Nq7hrGfPnrJ79+5kj+ExKuCrAp4AjDmqANfixYtjxqHxadiwYYJX/lavXh07DiBx7ZYtW2LH8AUt0MiZkQPiHtR/8XHzX7lnLFu2rNR9bidXgBEPShDoxkL6UA1gV5NTl9ugKOAJwD/99JP+6AcNGpTWTuSyGIwxfPjwtNclnkR3FKbPQSPWH3/8kXha9/MBsIv4lVdeiXU1YUAKAxUIigKeAAzj7rjjDmnfvr0OmEhlLOavQos0GroyCZgHC28aPfHEEylvyyfAeAhKCGeffbb+Yxo8eLCgEY2BCvitgGcAwzCMpnKDN/JpKIq2f/31V9oo8w0wHnbgwAEZOHCgQoyupsRif9oE8SQV8EABTwH2IL3ljtILgN3DJ06cqBBj8oB58+a5w9xSgYIrQICzlBwvWqC/27WEe1HSyDJpvC1CChDgHJyNxrrLL79cIcb4b85+mYOYvDUrBQhwVrL9dxPq4w8++KBC3KhRI3nvvff+O8lvVMBjBQhwngTGqLHjjz9eQUYdmYEKFEIBApxHlfECxHnnnacQ48WI+Nch8/gYRkUFYgoQ4JgU+fmC8d0333yzQowXOjDkk4EKeKUAAfZI2alTpyrEGGmWatYQjx7NaCOkAAH20NmYUqhp06YK8v333+/JoBYPk8+oQ6AAAfbYST///LNceeWVCjG6nMozmZ/HSWL0hhQgwAVy5ujRoxVivFLJJU8LJHoEHkOAC+jk+fPn66TyGL2V7kWMAiaJjwq5AgS4wA7ctm1brKtpwIABgsn5GKhAtgoQ4GyVy+G++K4mzFDy6aef5hAbb42yAgTYR+8/+eSTOvXQcccdJ4lTCvmYLD46RAoQYJ+dha4mzNiJejFm60xcS8rn5PHxAVeAAAfAQZha6Oqrr1aIL7nkEvn2228DkComIQwKEOAAeclNeF+/fn1JNVlfgJLLpARAAQIcACfEJ+H111/XCetRpMZ6xgxUIJ0CBDidOj6d++abb+TCCy/UInX//v3Z1eSTH8LwWAIcUC9hQkCsvIicGAvDffLJJwFNKZPlpwIE2E/1y/FsrFxRqVIlqVq1qmApVAYqEK8AAY5XI6DfP/roI50HG7kxVqlgV1NAHeVDsgiwD6Jn88g9e/ZIr169Yl1N6RZHzyZ+3hNOBQhwyPw2btw4hRhdTUuWLAlZ6pncfCtAgPOtaAHie/PNNwUAo0gNoBmiqwABDqnv0dXUoUMHhbhPnz66XnJITWGyc1CAAOcgnt+3Hj58WBu1kBM3b95c1q9f73eS+PwCK0CACyy4F4979tlnpVq1alKxYkXBd4boKECAjfh6w4YNmgsjN7711lvLXL0xG7N37dqlY7QxyMTPgHS8++67GS9L62eavXo2AfZKWR/i3bt3r/Tt21frxVgAffv27XlNRdeuXaVu3bqlFlXHWs1YIypdwAQGuGbHjh362blzZ7n7srF2NO6LnyQfy9fgH9XMmTPTPTYS5wiwQTc//vjj+gM/4YQT5J133smLhd9//73Gee+992p82L/22mvlpJNO0pFi+IeRamaRESNGSM2aNbWYj6J+jRo1BFMLlRUWLFggZ511lmDCA0wGOHnyZL3lyJEjcsYZZ0ibNm0iP1UvAS7rVxTS8wD35JNPVujwmmKu4emnn9a4li5dqlGhrn3jjTcKJiRwuT6mz00WsMwMwP3www8FRX00tqEBLl347rvvFFy81LF27Vrp1q2bPv+DDz7Q29w4cbTGRzkQYMPex3KnnTp10h8+ckuM5so2XH/99dpI5ua1Ri7oAt5dRpH2/PPPd4dKbQE6SgOZhClTpmicb731lt6GQSt4xqhRo3R/1qxZuv/aa69lEq25awmwOZeWNgh1SBR78eMvLi4WjKvOJlx88cVa/42vi7p43PKqw4YNc4dKbQEwnt+4cWMpKSmRhx9+uMwc2KUZOTYCiueIY8iQIbq/fPly3X/kkUdKPStqOwQ4Ih5//vnntUiKrqZsGn/Qz4xPfM4L6VC8rVy5sjRr1kzQoJUsrFq1Sp566imtw6LeChDHjx+f7NLYsXvuuUevc69RbtmyRfcHDx6s16xZs0b3XY4cuzFiXwhwhBy+ceNGbRQCQLfcckuZuWC8NFg2taioqNQ9yBXRKo269hdffBF/ecrvn3/+uYJ36aWXprwGJ0aOHKnXuQXTUfdFutEghrB69Wrdx4oXUQ4EOGLex0Ty/fr10x9/x44dBWsalyf06NFDc3CXywLYU089VVuHE1uf0Vh13XXXaQMX4sa1KMojTJo0SZ+Nxd4QXnjhBUGueujQId13f95++229bvjw4drSjOsBMIrOCAsXLtT96dOnu1siuSXAkXS7iOtqqlOnjixatKhMFVC/BUCuSItGLexXqVJF69bInbESI/p7J0yYoOfGjBmj8Xbu3Flz70aNGunxLl26CAZjIOAfA+JBg1t8wDvPaHjDuYYNG2pX1U033RTrNnLpRyt4lAMBjrD30bKL/lVAgoaodAEjn3Ad6rIIKNIi90R30rRp0/SD3BA5KVZkxDkMwEBAn/FLL72k16xYsUKP4c+xY8ekRYsW0r59+5QDO9AdhvhdUdrdjCI4iu8YJBLlQICj7H0RzfnQwgw4e/bsGcsZE2VBv22DBg2kXbt2cvTo0cTTWe3Pnj1bn7tp06aM7se82Ujv0KFDM7rP4sUE2KJXM7QJ9VNXRMYqEevWrUsaA3JbFH8PHDiQ9HymB5GLI2fPNCAXx8ivrVu3ZnqruesJsDmXZm8Q1meqVauW5m5Yt4kh+AoQ4OD7qKAp3Lx5sw62QBEVgyZ2796tC69hOCSGZLpW6IImig9LqYBZgDHooHXr1ikN54n0CrixxmgBBszug5cLchmSmf6pPJupAr4DjMYRtDBitE4+P+jWOP300/MaZz7TF+S4UAdG94zr4nHwuu2gQYMio+v+/fszZaqg1/sOMF4rcz8Mbv/L6ahFMLQI+syfvgOMwfEYp/vcc8/l9YPhfciF8x1vlOKbOHGijr5K/GeClxPmzJkTCW3RBhDk4DvAXomDuhrrwLmri9bo2rVrlyolnXPOOeUegpl7ChhDOgXMAoxX5/DqGkPuCqBlGiUP9L9iRJUDeurUqblHzhhyUoAA5yRfNG/+7LPPpFWrVporDxw48H8vIkRTFX+sJsD+6B76p6LtAvCifty2bVtBLs1QeAUIcOE1N/VE93ogJq2bP3++KdvCYAwBDoOXAp7GlStXSpMmTTQ3du/5BjzJZpJHgM240l9D8H5v9+7dFWJsE9/v9Td1dp9OgO36tuCW4TVDzFGFejEmsMPsGfl69bDgxoTkgQQ4JI4KUzLnzZsn1atX16lkMYUPg3cKEGDvtI10zJh6x00CH2khPDaeAHssMKOnAl4qQIC9VJdxUwGPFSDAHgvM6KmAlwoQYC/VZdxUwGMFCLDHAjN6KuClAmYBxlQwmGGRgQpYVsAswJiEza1kZ9mBtC3aCpgFONpupfVRUYAAR8XTtNOkAgTYpFtpVFQUIMBR8TTtNKnAv+vuz94gpikLAAAAAElFTkSuQmCC)
The difference between x and y–intercepts is
![](data:image/png;base64,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)
The y-intercept if the constant of proportionality is 0.2 is
The y-intercept if the constant of proportionality is 0.2 is
The sum of both the intercepts in the equation 4x + 2 = y is
A y-intercept is a point where the graph of a function or relation intersects with the y-axis of the coordinate system. To find the y-intercept, set x = 0 and solve for y.
An x-intercept is a point where the graph of a function or relation intersects with the x-axis of the coordinate system. To find the x-intercept set y = 0 and solve for x.
The sum of both the intercepts in the equation 4x + 2 = y is
A y-intercept is a point where the graph of a function or relation intersects with the y-axis of the coordinate system. To find the y-intercept, set x = 0 and solve for y.
An x-intercept is a point where the graph of a function or relation intersects with the x-axis of the coordinate system. To find the x-intercept set y = 0 and solve for x.