Lunarnotes - calculations

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     "text": [
      "m: 5.1433962264150965\n",
      "300/m: 58.32721936903886\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "from sklearn.linear_model import LinearRegression\n",
    "\n",
    "peak_area = np.array([50, 105, 260, 520, 1025])\n",
    "concentration = np.array([10, 20, 50, 100, 200])\n",
    "\n",
    "concentration = concentration.reshape(-1, 1)\n",
    "\n",
    "model = LinearRegression(fit_intercept=False)\n",
    "model.fit(concentration, peak_area)\n",
    "\n",
    "m = model.coef_[0]\n",
    "\n",
    "print(\"m:\", m)\n",
    "print(\"300/m:\", 300/m)"
   ]
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     "text": [
      "slope: 5.143396226415095\n",
      "300/slope: 58.32721936903888\n"
     ]
    }
   ],
   "source": [
    "import numpy as np\n",
    "\n",
    "x = np.array([10, 20, 50, 100, 200])\n",
    "y = np.array([50, 105, 260, 520, 1025])\n",
    "\n",
    "slope = np.sum(x * y) / np.sum(x**2)\n",
    "\n",
    "print(\"slope:\", slope)\n",
    "print(\"300/slope:\", 300/slope)\n"
   ]
  }
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