This is the intercept of the line with the y-axis. Substitute the line’s slope and intercept as “m” and “c” in the equation “y = mx + c.” With this example, this produces the equation “y = 0.667x + 10.33.” This equation predicts the y-value of any point on the plot from its x-value.

## What is predictive equation?

A prediction equation **predicts a value of the reponse variable for given values of the factors**. The equation we select can include all the factors shown above, or it can include a subset of the factors.

## What is prediction equation formula What does it measure?

Prediction equations are commonly considered as a cost- and time-effective alternative method to estimate **the BMR/RMR and determine energy requirements**.

## What is prediction equation formula in physical education?

The new equation was cross validated to determine its prediction accuracy. … The developed equation was **MMSE = 19.479 + (1.548 x SPPB)–(0.130 x age) (R ^{2} = 0.72 and root mean square errors of 3.6)**. The results of PF are useful for exercise specialists to achieve the best physical exercise training and PA in older adults.

## What is the example of prediction?

The definition of a prediction is a forecast or a prophecy. An example of a prediction is **a psychic telling a couple they will have a child soon, before they know the woman is pregnant.**

## What is a prediction in math?

A prediction is **a reasonable guess as to what will happen**.

## What is a prediction line?

Statistical researchers often use a **linear relationship to predict the (average) numerical value of Y for a given value of X** using a straight line (called the regression line). If you know the slope and the y-intercept of that regression line, then you can plug in a value for X and predict the average value for Y.

## How do you predict a regression equation?

The line of regression of Y on X is given by **Y = a + bX** where a and b are unknown constants known as intercept and slope of the equation. This is used to predict the unknown value of variable Y when value of variable X is known.

## What is the equation of the least squares regression line for the data set?

What is a Least Squares Regression Line? fits that relationship. That line is called a Regression Line and has the equation **ŷ= a + b x**. The Least Squares Regression Line is the line that makes the vertical distance from the data points to the regression line as small as possible.