Given a simple linear regression model with the following equation: y = b0 + b1x where y is the dependent variable, x is the independent variable, b0 is the y-intercept, and b1 is the slope. If b0 = -3 and b1 = 2, what is the predicted value of y when x = 4?

Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
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ISBN:9780079039897
Author:Carter
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Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
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Given a simple linear regression model with the following equation: y = b0 + b1x where y is the dependent variable, x is the independent variable, b0 is the y-intercept, and b1 is the slope. If b0 = -3 and b1 = 2, what is the predicted value of y when x = 4?
Expert Solution
Step 1

The predicted value of y when x = 4 can be calculated as follows: 

y = b0 + b1x 

y = -3 + 2 * 4  y = 5 

So, when x = 4, the predicted value of y is 5.

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