The two regression coefficients are -2.7 and -0.3 and the coefficient of correlation is 0.90. Comment
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For the two regression coefficients, -2.7 and -0.3 and for the coefficient of correlation is 0.90, the model is a good fit, as the data can be fitted to the regression line.
- The two regression coefficients are -2.7 and -0.3
- The regression coefficients are negative and the proportion of variations between data variables is high
- The coefficient of correlation is 0.90.
- Coefficient of correlation = √{ two regression coefficients}
- Implies that the correlation between x and y variables is high and positive
- higher the correlation value lesser the regression and data fit the model only if the regression graph is linear.
- r^2 = 0.9^2 = 0.81 indicates smaller differences between the observed data fitted values.
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