The figure shows a scatter plot and a linear regression...

The figure shows a scatter plot and a linear regression model for the annual revenue data in Table 13
(A) Interpret the slope of the model.
(B) Use the model to predict the annual revenue (to the nearest billion dollars) in 2020 .

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Key Concepts

Interpretation of the Slope

The slope in a linear regression model represents the average change in the dependent variable for each one-unit change in the independent variable. It quantifies the relationship between the predictor and the outcome, indicating whether and how strongly the dependent variable increases or decreases as the independent variable changes.

Prediction Using the Regression Model

Prediction using a regression model involves substituting a given value of the independent variable into the model's equation to calculate an estimated value for the dependent variable. This process leverages the established linear relationship to forecast outcomes for new or future data points.

Linear Regression

Linear regression is a statistical method used to model the relationship between a dependent variable and one or more independent variables. It creates a linear equation that best fits the observed data, allowing for both interpretation of the influence of predictors and prediction of outcomes for new data points.

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