fix typo 23% to 45%

springboard-curriculum · Apr 19, 2021 · c5eb374 · c5eb374
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diff --git a/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 1.ipynb b/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 1.ipynb
@@ -480,7 +480,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 23% of the variation from the mean. There's more work to do!"
+    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 45% of the variation from the mean. There's more work to do!"
    ]
   },
   {

diff --git a/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 2.ipynb b/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 2.ipynb
@@ -480,7 +480,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 23% of the variation from the mean. There's more work to do!"
+    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 45% of the variation from the mean. There's more work to do!"
    ]
   },
   {

diff --git a/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb b/...Linear Regression/Springboard Regression Case Study - the Red Wine Dataset - Tier 3.ipynb
@@ -608,7 +608,7 @@
     "id": "kcYpzHb-Gqkv"
    },
    "source": [
-    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 23% of the variation from the mean. There's more work to do!"
+    "The above score is called R-Squared coefficient, or the \"coefficient of determination\". It's basically a measure of how successfully our model predicts the variations in the data away from the mean: 1 would mean a perfect model that explains 100% of the variation. At the moment, our model explains only about 45% of the variation from the mean. There's more work to do!"
    ]
   },
   {

diff --git a/...se Study - Linear Regression/Springboard Regression Case Study - the Red Wine Dataset.zip b/...se Study - Linear Regression/Springboard Regression Case Study - the Red Wine Dataset.zip