7. The Cantril Ladder is a 0 - 10 scale used to rate life satisfaction. The scatterplot shows a country's national average Cantril Ladder score on the horizontal axis and the GDP per capita on the vertical axis. a. A linear regression model for this data is shown. What assumption is made about the relationship between the Cantril Ladder Score and GDP per capita in a linear model? b. How well do you think a linear model "fits" this data? c. A second model for this data is also shown. What assumption is made about the relationship between the Cantril Ladder Score and GDP per capita in this model? d. Compared to the linear model, how well does the second model fit the data?
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- A linear regression model assumes a linear relationship between the Cantril Ladder Score and GDP per capita. This means that as the Cantril Ladder Score increases, the GDP per capita is expected to increase at a constant rate. Show more…
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