line graph
Not useful
Linear equations can be used for forecasting by establishing a relationship between a dependent variable (such as sales or demand) and one or more independent variables (like time, price, or marketing spend). By analyzing historical data, you can create a linear regression model to predict future values based on this relationship. Once the equation is formulated, you can input future values of the independent variables to estimate the dependent variable, aiding in decision-making and planning. This method is particularly useful for identifying trends and making data-driven forecasts.
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When you want the central location of a variable.
Data tabel
line graph
line graph
line graph
i believe the answer is.... A strong OBSERVATION can be useful for making predictions
A regression graph is most useful for predicting dependent variables, as it shows the relationship between the independent and dependent variables, allowing for the prediction of future values.
Predictions
function is the relationship between independent variable & dependent variable i.e. F:R-R
growth rate
growth rate
A line graph is most useful for representing how one variable influences another variable.
The variable of the experiment that is being tested or the part that is changed by the person doing the experiment is called the independent variable... Thank you for letting me answer goodbye... ;)