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The following formula is used to calculate the line of best fit: Y = C +B¹ (x¹) + B² (x²) Here, Y is the dependent variable of the equation. C is constant. B¹ and B² are first and second regression

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Use the slope and y -intercept to form the equation of the line of best fit. The slope of the line is − 1.1 and the y -intercept is 14.0 . Therefore, the equation is y = − 1.1 x + 14.0 . Draw the line on

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Linear regression calculators determine the line-of-best-fit by minimizing the sum of squared error terms (the squared difference between the data points and the line). The calculator above

Get StartedThe line of best fit is described by the equation ŷ = bX + a, where b is the slope of the line and a is the intercept (i.e., the value of Y when X = 0). This calculator will determine the values of b and

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