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This answer results from reversing the constant coefficient and the variable coefficient in the regression model. This is a regression model of the form y = ax + b, and to answer it properly, it is necessary to properly identify the constant coefficient and the variable coefficient and use them, along with the value of x, to solve the equation.
This answer results from adding the intercept and the slope together. This is a regression model of the form y = ax + b, and to answer it properly, it is necessary to identify the constant coefficient and the variable coefficient and use them, along with the value of x, to solve the equation.
In this simple regression model, the coefficient means the constant coefficient, or the y intercept, which is the value of y when x is equal to zero. The slope is the variable coefficient, which represents the amount of increase in y for each unit of increase in x; and the variable coefficient is always next to x in the equation. Therefore, the regression equation to be solved is y = ax + b Where: a = 1.54 x = 10 b = 5.23 Plugging the numbers into the equation, we get: y = (1.54× 10) + 5.23 y = 20.63
This answer results from multiplying the intercept by the slope. This is a regression model of the form y = ax + b, and to answer it properly, it is necessary to identify the constant coefficient and the variable coefficient and use them, along with the value of x, to solve the equation.