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9.2: Linear Equations
https://stats.libretexts.org/Courses/Remixer_University/Username%3A_ckkidder08marianuniversityedu/Applied_Statistics_for_Social_Science_(19-20)/09%3A_Linear_Regression_and_Correlation/9.2%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
12.2: Linear Equations
https://stats.libretexts.org/Courses/Long_Beach_City_College/Book%3A_STAT_227_-_Introductory_Statistics/Text/12%3A_Linear_Regression_and_Correlation/12.02%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
13.2: Linear Equations
https://stats.libretexts.org/Courses/Los_Angeles_City_College/Introductory_Statistics/13%3A_Linear_Regression_and_Correlation/13.02%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
15.2.1: Using Linear Equations
https://stats.libretexts.org/Workbench/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Science_(Oja)_WITHOUT_UNITS/15%3A_Regression/15.02%3A_Regression_Line_Equation/15.2.01%3A_Using_Linear_Equations
From algebra recall that the slope is a number that describes the steepness of a line, and the $y$ -intercept is the $y$ coordinate of the point $(0, a)$ where the line crosses the $y$ -axis. In...From algebra recall that the slope is a number that describes the steepness of a line, and the $y$ -intercept is the $y$ coordinate of the point $(0, a)$ where the line crosses the $y$ -axis. In the equation $y = a + b\text{x}$ , the constant b that multiplies the $x$ variable ( $b$ is called a coefficient) is called the slope.
9.2: Linear Equations
https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science_(19-20)/09%3A_Linear_Regression_and_Correlation/9.2%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
15.2.1: Using Linear Equations
https://stats.libretexts.org/Courses/Taft_College/PSYC_2200%3A_Elementary_Statistics_for_Behavioral_and_Social_Sciences_(Oja)/03%3A_Relationships/15%3A_Regression/15.02%3A_Regression_Line_Equation/15.2.01%3A_Using_Linear_Equations
From algebra recall that the slope is a number that describes the steepness of a line, and the $y$ -intercept is the $y$ coordinate of the point $(0, a)$ where the line crosses the $y$ -axis. In...From algebra recall that the slope is a number that describes the steepness of a line, and the $y$ -intercept is the $y$ coordinate of the point $(0, a)$ where the line crosses the $y$ -axis. In the equation $y = a + b\text{x}$ , the constant b that multiplies the $x$ variable ( $b$ is called a coefficient) is called the slope.
12.2: Linear Equations
https://stats.libretexts.org/Courses/Lake_Tahoe_Community_College/MATH-201%3A_Elements_of_Statistics_and_Probability/12%3A_Linear_Regression_and_Correlation/12.02%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
12.2: Linear Equations
https://stats.libretexts.org/Courses/El_Camino_College/Introductory_Statistics/12%3A_Linear_Regression_and_Correlation/12.02%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.
9.2: Linear Equations
https://stats.libretexts.org/Courses/Marian_University/Applied_Statistics_for_Social_Science/09%3A_Linear_Regression_and_Correlation/9.2%3A_Linear_Equations
Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the i...Linear regression for two variables is based on a linear equation with one independent variable. The equation has the form: y=a+bx where a and b are constant numbers. The variable x is the independent variable, and y is the dependent variable. Typically, you choose a value to substitute for the independent variable and then solve for the dependent variable.

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