diff --git a/media/js/src/simulations/simulation1/scatterPlot.jsx b/media/js/src/simulations/simulation1/scatterPlot.jsx
index d054232..8b91890 100644
--- a/media/js/src/simulations/simulation1/scatterPlot.jsx
+++ b/media/js/src/simulations/simulation1/scatterPlot.jsx
@@ -3,9 +3,7 @@ import Plot from 'react-plotly.js';
 import seedrandom from 'seedrandom';
 import axios from 'axios';
 import PropTypes from 'prop-types';
-// import { saveAs } from 'file-saver';
 
-// const isSuperUser = window.MetricsMentor.currentUser.is_superuser;
 
 export const ScatterPlot = ({ N, yCorrelation, seed, setAppRvalue,
     setSlope, setIntercept, setStderror, plotType, setSlopes,
@@ -122,25 +120,6 @@ export const ScatterPlot = ({ N, yCorrelation, seed, setAppRvalue,
         }
     };
 
-    // const exportCSV = () => {
-    //     let headers = ['x', 'y'];
-    //     if (plotType === '3d') {
-    //         headers.push('z');
-    //     }
-
-    //     const dataRows = data.map(point => {
-    //         let row = [point.x, point.y];
-    //         if (plotType === '3d') {
-    //             row.push(point.z);
-    //         }
-    //         return row.join(',');
-    //     });
-
-    //     const csv = [headers.join(','), ...dataRows].join('\n');
-    //     const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' });
-    //     saveAs(blob, 'scatterplot_data.csv');
-    // };
-
     useEffect(() => {
         if (N) {
             setData(generateData());
@@ -219,12 +198,6 @@ export const ScatterPlot = ({ N, yCorrelation, seed, setAppRvalue,
                         'lasso2d', 'autoScale2d'],
                 }}
             />
-            {/* {isSuperUser && (
-                <div className="text-end me-5">
-                    <button className="btn btn-sm btn-secondary"
-                        onClick={exportCSV}>Export CSV</button>
-                </div>
-            )} */}
         </>
     );
 };
diff --git a/media/js/src/simulations/simulation1/simulationOne.jsx b/media/js/src/simulations/simulation1/simulationOne.jsx
index 4249f36..704d8f9 100644
--- a/media/js/src/simulations/simulation1/simulationOne.jsx
+++ b/media/js/src/simulations/simulation1/simulationOne.jsx
@@ -11,8 +11,6 @@ import { CriticalValueModal } from './modalCV';
 import { GlossaryModal } from './modalGlossary';
 
 
-// const CURRENT_USER = window.MetricsMentor.currentUser.id;
-// const isSuperUser = window.MetricsMentor.currentUser.is_superuser;
 const simContainer = document.querySelector('#react-root');
 const coursePk =
     simContainer ? Number(simContainer.dataset.course) : '';
diff --git a/media/js/src/simulations/simulation2/components/scatterPlot2.jsx b/media/js/src/simulations/simulation2/components/scatterPlot2.jsx
index 8630170..89060f7 100644
--- a/media/js/src/simulations/simulation2/components/scatterPlot2.jsx
+++ b/media/js/src/simulations/simulation2/components/scatterPlot2.jsx
@@ -1,7 +1,6 @@
 import React, { useState, useEffect } from 'react';
 import Plot from 'react-plotly.js';
 import PropTypes from 'prop-types';
-// import axios from 'axios';
 
 
 export const ScatterPlot2 = ({controls, data, labelIndex, param}) => {
@@ -15,42 +14,6 @@ export const ScatterPlot2 = ({controls, data, labelIndex, param}) => {
 
     const [selectedAltLines, setSelectedAltLines] = useState([]);
 
-    // /**
-    //  * !!DEV CODE!!: Use to extract the regression data for new data sets
-    //  */
-    // const minMax = function(arr) {
-    //     return arr.reduce(function(p, v) {
-    //         return ([p[0] < v ? p[0] : v, v < p[1] ? p[1] : v]);
-    //     }, [Infinity, -Infinity]);
-    // };
-
-    // useEffect(() => {
-    //     axios.post('/calc_regression/', {
-    //         x_values: x1_values,
-    //         y_values: y_values,
-    //     }).then((response) => {
-    //         const d = response.data;
-    //         const xRange = minMax(x1_values);
-    //         console.log('xRange:', xRange);
-    //         console.log(param.x_1, d, 'yRange:',
-    //             [xRange[0] * d.slope + d.intercept,
-    //                 xRange[1] * d.slope + d.intercept]);
-    //     });
-    //     for (let col of param.option) {
-    //         axios.post('/calc_multi_regression/', {
-    //             x1_values: x1_values,
-    //             x2_values: data[col],
-    //             y_values: y_values,
-    //         }).then((response) => {
-    //             const d = response.data;
-    //             const xRange = minMax(x1_values);
-    //             console.log(col, d, 'yRange:',
-    //                 [xRange[0] * d.slope_x1 + d.intercept,
-    //                     xRange[1] * d.slope_x1 + d.intercept]);
-    //         });
-    //     }
-    // }, [data]);
-
     useEffect(() => {
         const altLines = [];
         if (controls) {
diff --git a/media/js/src/utils/devUtils.jsx b/media/js/src/utils/devUtils.jsx
new file mode 100644
index 0000000..cdd4e80
--- /dev/null
+++ b/media/js/src/utils/devUtils.jsx
@@ -0,0 +1,57 @@
+// devUtils.js
+
+import axios from 'axios';
+import { saveAs } from 'file-saver';
+
+export const minMax = function(arr) {
+    return arr.reduce(function(p, v) {
+        return ([p[0] < v ? p[0] : v, v < p[1] ? p[1] : v]);
+    }, [Infinity, -Infinity]);
+};
+
+export const extractRegressionData = (x1_values, y_values, param, data) => {
+    axios.post('/calc_regression/', {
+        x_values: x1_values,
+        y_values: y_values,
+    }).then((response) => {
+        const d = response.data;
+        const xRange = minMax(x1_values);
+        console.log('xRange:', xRange);
+        console.log(param.x_1, d, 'yRange:',
+            [xRange[0] * d.slope + d.intercept,
+                xRange[1] * d.slope + d.intercept]);
+    });
+
+    for (let col of param.option) {
+        axios.post('/calc_multi_regression/', {
+            x1_values: x1_values,
+            x2_values: data[col],
+            y_values: y_values,
+        }).then((response) => {
+            const d = response.data;
+            const xRange = minMax(x1_values);
+            console.log(col, d, 'yRange:',
+                [xRange[0] * d.slope_x1 + d.intercept,
+                    xRange[1] * d.slope_x1 + d.intercept]);
+        });
+    }
+};
+
+export const exportCSV = (data, plotType) => {
+    let headers = ['x', 'y'];
+    if (plotType === '3d') {
+        headers.push('z');
+    }
+
+    const dataRows = data.map(point => {
+        let row = [point.x, point.y];
+        if (plotType === '3d') {
+            row.push(point.z);
+        }
+        return row.join(',');
+    });
+
+    const csv = [headers.join(','), ...dataRows].join('\n');
+    const blob = new Blob([csv], { type: 'text/csv;charset=utf-8' });
+    saveAs(blob, 'scatterplot_data.csv');
+};
\ No newline at end of file