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Regression Analysis Calculator

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Example
Created on 2024-06-20Asked by Elijah Clark (Solvelet student)
Perform a linear regression analysis on the following data set: {(1,2),(2,3),(3,5),(4,4),(5,6)}. \{(1, 2), (2, 3), (3, 5), (4, 4), (5, 6)\}.

Solution

To perform a linear regression analysis on the data set {(1,2),(2,3),(3,5),(4,4),(5,6)}\{(1, 2), (2, 3), (3, 5), (4, 4), (5, 6)\}: 1. **Calculate the means of xx and yy:** xˉ=1+2+3+4+55=3, \bar{x} = \frac{1 + 2 + 3 + 4 + 5}{5} = 3, yˉ=2+3+5+4+65=4. \bar{y} = \frac{2 + 3 + 5 + 4 + 6}{5} = 4. 2. **Calculate the slope mm:** m=i=15(xixˉ)(yiyˉ)i=15(xixˉ)2, m = \frac{\sum_{i=1}^{5} (x_i - \bar{x})(y_i - \bar{y})}{\sum_{i=1}^{5} (x_i - \bar{x})^2}, m=(13)(24)+(23)(34)+(33)(54)+(43)(44)+(53)(64)(13)2+(23)2+(33)2+(43)2+(53)2, m = \frac{(1-3)(2-4) + (2-3)(3-4) + (3-3)(5-4) + (4-3)(4-4) + (5-3)(6-4)}{(1-3)^2 + (2-3)^2 + (3-3)^2 + (4-3)^2 + (5-3)^2}, m=(2)(2)+(1)(1)+(0)(1)+(1)(0)+(2)(2)4+1+0+1+4, m = \frac{(-2)(-2) + (-1)(-1) + (0)(1) + (1)(0) + (2)(2)}{4 + 1 + 0 + 1 + 4}, m=4+1+0+0+410=910=0.9. m = \frac{4 + 1 + 0 + 0 + 4}{10} = \frac{9}{10} = 0.9. 3. **Calculate the y-intercept bb:** b=yˉmxˉ=40.93=42.7=1.3. b = \bar{y} - m\bar{x} = 4 - 0.9 \cdot 3 = 4 - 2.7 = 1.3. 4. **Form the regression equation:** y=0.9x+1.3. y = 0.9x + 1.3. Therefore, the linear regression equation for the data set is y=0.9x+1.3 y = 0.9x + 1.3 . Solved on Solvelet with Basic AI Model
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DefinitionRegression analysis is the statistical method by which relationships between variables are modeled. It embodies the methods to evaluate the model and set the relationship between a dependent variable and one or more independent variables. For instance: if there is a set of points and an outcome of a linear regression that can be used to predict the outcome, the linear regression will best fit the straight line.
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