Answer: C.) The coefficient of determination is 0.215. 21.5% of the variation is explained by the linear correlation, and 78.5% is explained by other factors.
Step-by-step explanation:
Given that :
Number of observations = 40
Linear Correlation Coefficient (R) = 0.464
The Coefficient of determination ( R^2) =?
The Coefficient of determination (R^2) is the squared value of the linear correlation Coefficient value (R) . The value value ranges from 0 to 1 and depicts the proportion of the variation in the dependent variable that can be accounted for by the independent variable.
For the scenario given above,
The Coefficient of determination (R^2) = 0.464^2 = 0.215296 = (0.215296 * 100%) = 21.5%
This means that 21.5% of the variation can be explained by the relationship between both variables while (100% - 21.5% = 78.5%) can be explained by other factors.
Answer:
10. :)
Step-by-step explanation:
Answer:
4 and 1/8, 4 and 2/12(or 1/6 simplified), 4 and 1/4, and 5 and 10/11
Step-by-step explanation:
4 and 1/8=412.5%
4 and 1/6=416 2/3%
4 and 1/4=425%
1, 2, 3 have the same solution
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