Asked by victor koskei on Jun 05, 2024

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The following information regarding a dependent variable (y) and an independent variable (x) is provided. The following information regarding a dependent variable (y)  and an independent variable (x)  is provided.   ​ SSE = 1.9 SST = 6.8 ​ The coefficient of determination is A)  .8489. B)  -.7206. C)  .7206. D)  .375. ​ SSE = 1.9
SST = 6.8

The coefficient of determination is

A) .8489.
B) -.7206.
C) .7206.
D) .375.

Coefficient Of Determination

A measure used in statistical analysis that assesses how well data points fit a line or curve, often symbolized as R^2.

Dependent Variable

A variable in a scientific experiment that is affected by another variable, called the independent variable, and is measured or observed.

Independent Variable

A variable in an experiment or model that is manipulated or changed to observe its effect on a dependent variable.

  • Master and evaluate the coefficient of determination and its meaning.
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KS
Kevin SanabriaJun 08, 2024
Final Answer :
C
Explanation :
The coefficient of determination is the proportion of the total variation in the dependent variable (y) that is explained by the independent variable (x). It is calculated as the ratio of the explained variation (SSR) to the total variation (SST). The formula is:
R-squared = SSR/SST
where SSR = SST - SSE (unexplained variation)
Using the provided values:
SSR = SST - SSE = 6.8 - 1.9 = 4.9
R-squared = SSR/SST = 4.9/6.8 = 0.7206
Therefore, the coefficient of determination is 0.7206 or approximately 72.06%. The best choice is C.