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Step 6   Predict Distance Using the Linear Regression Equation
                         For the given data the linear regression equation is y = 3.603x - 10.835. now to can either locate the

                         values of x or y directly from the graph or we can also find it by putting either values in the above
                         equation.


                               Task                                                      21 st  Century   #Technology Literacy
                                                                                             Skills


                   To use Excel tool for simple linear regression of cars speed and distance:   [CBSE Handbook]
                   Activity Template-MS Excel for Statistical Analysis: https://bit.ly/43SIq6K





                       Orange Data Mining


              Orange Data Mining (ODM) is an open-source data mining and machine learning tool designed for data analysis,
              visualization, and exploration. It is a user-friendly platform that offers both Python-based scripting and a visual
              programming interface. This makes it suitable for both beginners and advanced users. You can download the ODM
              form the website: https://orangedatamining.com/download/.

              Some of its important features are:
                 • Graphical User Interface (GUI): ODM has an easy-to-use, drag-and-drop interface that lets you build data
                 analysis workflows without needing to write any code. You can simply move and connect different tools to
                 analyse your data. Users can build models, visualize data, and analyse it using a set of widgets that perform
                 specific tasks.

                 • No Code Required: One of the biggest advantages of ODM is that it allows users to perform complex data
                 mining and machine learning tasks without having to write code. The interface is designed so that users can
                 simply drag and drop widgets to perform operations on data.

                 • Widgets: ODM provides a wide variety of widgets for different tasks such as data preprocessing, visualization,
                 classification, regression, clustering, and evaluation. Each widget represents a specific data analysis task, such as
                 data loading, cleaning, modeling, or visualization.

                 • Machine Learning & Data Mining: With ODM, you can apply machine learning techniques like classification,
                 regression, clustering, and association rule mining. It includes algorithms such as decision trees, k-means clustering,
                 logistic regression, and more, making it a versatile tool for both beginners and data science professionals.

                 • Data Visualization: ODM allows for powerful and beautiful data visualizations to help users better understand
                 their data. Visual representations like graphs, scatter plots, histograms, and more can be created easily. These
                 visualizations make it easier to spot patterns, trends, and relationships in the data.


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