Update ExtendedData.ipynb

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Author: mirams

ExtendedData.ipynb

@@ -260,7 +260,7 @@
     "Here we calculated the rundown rate predicted by the model and used it to estimate the residuals.\n",
     "These were then used to check four assumptions of performing a multi-linear regression.\n",
     "\n",
-    "1. Linearity: Ideally the scatter plot of predicted versus actual values should lie exactly on a diagnol. While this is not completely true for the plot shown in this section, the variation is horizontally on both sides of the diagnol which is expected given that temperature and INaCa are used as discrete rather than continuous variables.\n",
+    "1. Linearity: Ideally the scatter plot of predicted versus actual values should lie exactly on a diagonal. While this is not completely true for the plot shown in this section, the variation is horizontally on both sides of the diagonal which is expected given that temperature and INaCa are used as discrete rather than continuous variables.\n",
     "2. Normality: The residuals form part of a normal-like distribution with a slight skew on the right side, however, given the complexity of the data, this is not too concerning.\n",
     "3. Non-autocorrelation: The Durbin-Watson test was performed on the residuals which passed and confirmed that the errors are not auto-correlated\n",
     "4. Homoscedasticity: The residuals do not have a constant variance throughout which can again be attributed to the fact that some of the variables of the model are discrete rather than continuous.\n",