Helllo, there are a few that I am a little confused on, could you please help The following table show the price of used Honda Civics. Age in Years 3 4 5 7 8 9 13 14 Price in $ 23000 21500 17500 16500 13000 13500 11500 9000 Use Age as your explanatory variable and Price as your response variable and create a linear regression model. What is the correlation coefficient? Round your answer to 4 decimal places. $-0.9462 Describe the correlation. stong negative Calculate the slope coefficient. Round your answer to 4 decimal places. Interpret the slope: The model predict that the price of civics will decrease with "unknown" dollors per years Calculate the y-intercept: 24709 Interpret the y-intercept: The model predicts that . Write the regression equation y^ = Use the model to predict the price for a `13 year old Civic. $
Helllo, there are a few that I am a little confused on, could you please help The following table show the price of used Honda Civics. Age in Years 3 4 5 7 8 9 13 14 Price in $ 23000 21500 17500 16500 13000 13500 11500 9000 Use Age as your explanatory variable and Price as your response variable and create a linear regression model. What is the correlation coefficient? Round your answer to 4 decimal places. $-0.9462 Describe the correlation. stong negative Calculate the slope coefficient. Round your answer to 4 decimal places. Interpret the slope: The model predict that the price of civics will decrease with "unknown" dollors per years Calculate the y-intercept: 24709 Interpret the y-intercept: The model predicts that . Write the regression equation y^ = Use the model to predict the price for a `13 year old Civic. $
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Helllo, there are a few that I am a little confused on, could you please help
The following table show the price of used Honda Civics.
| Age in Years | 3 | 4 | 5 | 7 | 8 | 9 | 13 | 14 |
|---|---|---|---|---|---|---|---|---|
| Price in $ | 23000 | 21500 | 17500 | 16500 | 13000 | 13500 | 11500 | 9000 |
Use Age as your explanatory variable and Price as your response variable and create a linear regression model.
What is the
Describe the correlation. stong negative
Calculate the slope coefficient. Round your answer to 4 decimal places.
Interpret the slope: The model predict that the price of civics will decrease with "unknown" dollors per years
Calculate the y-intercept: 24709
Interpret the y-intercept: The model predicts that .
Write the regression equation y^ =
Use the model to predict the price for a `13 year old Civic. $
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