![]() ![]() To determine this relationship, data scientists create a scatter plot-a random collection of x and y values-to see whether they fall along a straight line. ![]() Linear relationshipĪ linear relationship must exist between the independent and dependent variables. That is why linear regression analysis must mathematically modify or transform the data values to meet the following four assumptions. Real-life data is more complicated than the previous example. Data scientists first train the algorithm on known or labeled datasets and then use the algorithm to predict unknown values. In machine learning, computer programs called algorithms analyze large datasets and work backward from that data to calculate the linear regression equation. Extrapolate or predict that y is 14 when x is. ![]()
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