Q: What is the value of r in the linear regression equation 67.50-4.90x?

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The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.

It represents the value of the y variable when the x variable is zero.

A linear equation is an equation that in math. It is a line. Liner equations have no X2. An example of a linear equation is x-2 A linear equation also equals y=mx+b. It has a slope and a y-intercept. A non-linear equation is also an equation in math. It can have and x2 and it is not a line. An example is y=x2+3x+4 Non linear equations can be quadratics, absolute value or expodentail equations.

Suppose you have n objects and for each object you have observations for k+1 variables, X1, X2, ... , Xk and Y.Then a linear regression is an equation of the form E(y) = a + b1x1 + b2x2 + ... + bkxk where E(y) is the expected value of the variable Y when Xi has the value xi; and where a, and b1, b2, ... , bk are constants.

Suppose you have n objects and for each object you have observations for k+1 variables, X1, X2, ... , Xk and Y.Then a linear regression is an equation of the form E(y) = a + b1x1 + b2x2 + ... + bkxk where E(y) is the expected value of the variable Y when Xi has the value xi; and where a, and b1, b2, ... , bk are constants.

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slope

The strength of the linear relationship between the two variables in the regression equation is the correlation coefficient, r, and is always a value between -1 and 1, inclusive. The regression coefficient is the slope of the line of the regression equation.

It represents the value of the y variable when the x variable is zero.

Linear regression can be used in statistics in order to create a model out a dependable scalar value and an explanatory variable. Linear regression has applications in finance, economics and environmental science.

A linear equation is an equation that in math. It is a line. Liner equations have no X2. An example of a linear equation is x-2 A linear equation also equals y=mx+b. It has a slope and a y-intercept. A non-linear equation is also an equation in math. It can have and x2 and it is not a line. An example is y=x2+3x+4 Non linear equations can be quadratics, absolute value or expodentail equations.

Suppose you have n objects and for each object you have observations for k+1 variables, X1, X2, ... , Xk and Y.Then a linear regression is an equation of the form E(y) = a + b1x1 + b2x2 + ... + bkxk where E(y) is the expected value of the variable Y when Xi has the value xi; and where a, and b1, b2, ... , bk are constants.

A linear equation can have only one zero and that is the value of the variable for which the equation is true.

The value depends on the slope of the line.

It could be any value

linear equation in one variable

A linear graph shows a linear equation in which the value of one variable depends on the value of the other variable.